Dataset curation jobs

...build a contact list of 300,000 – 500,000 U.S.–based finance professionals. Every record must fit one—and only one—of these job titles: Chief Financial Officer, Accountant, or Accounts Receivable Specialist. The company itself should clearly operate within the finance sector (banks, credit unions, investment firms, insurance carriers, fintech, etc.) and be headquartered in the United States. The dataset has to be reliable enough for immediate outreach. That means no scraped junk or catch-all addresses. I want verified, work-domain email addresses on every single row—no personal Gmail, Yahoo, or Outlook accounts. If you can enrich the file with phone numbers or LinkedIn profile URLs, that’s a nice-to-have, but email is the one non-negotiable. ...

...stores each item’s calorie count, and I need three intuitive ways to explore it: search by food name, browse by food category, and filter by nutrient content. Users will pick foods, see the calories add up in real time, and adjust portions on the fly. Please build a clean, responsive interface so the site feels just as smooth on a phone as on a desktop. I’m fine with an off-the-shelf nutrition dataset or an open-API source as long as it’s reliable and easy for me to update later. Future add-ons such as daily calorie-needs calculators or exercise tracking are possibilities, so keep the code modular enough that new components can drop in without a rewrite. Deliverables: • Functional website hosted on my domain (HTML/CSS/JS or a lightweight framework) &bul...

I need a clean, interactive dashboard in Power BI that turns my raw sales data into clear, actionable insights. The core dataset is our historical sales (product, region, channel, time-series), and I want the visuals to spotlight trends, seasonality, and any anomalies so my team can make decisions quickly. Besides the sales figures, I also have customer feedback captured from Instagram. If you can weave that social-media sentiment into the same report—perhaps as a supplementary page or a slicer-driven overlay—that would be ideal, but the primary focus remains the sales story. You will receive: • CSV exports of the sales tables (fact and dimension files) • A JSON feed of the Instagram comments already tagged for sentiment Deliverables I expect: • A P...

I need an Excel workbook set up for straightforward data analysis. The core of the job is to structure my raw data clearly, apply the right formulas where useful, and summarise everything with well-designed pivot tables so I can slice the information fast without extra clicks. Once I send the dataset, configure the sheet so new rows dropped into the source table automatically flow through to the pivots. Clean headings, consistent data types, and no hard-coding in the calculations are essential. Deliverables • Final .xlsx file with fully functional pivot tables linked to a neatly formatted source table • Brief in-sheet notes explaining any key formulas or settings If you prefer using Power Query or a light VBA macro to keep the refresh seamless, feel free to suggest ...

I need accurate user information extracted from several popular social media platforms. The task involves: • Locating the profiles I specify (or finding new ones that match my hashtags and keyword lists). • Capturing core user details such as public n...spreadsheet and running a quick consistency check so there are no duplicates or broken links. All data must be gathered manually or with approved scraping tools that respect the platform’s public-data policies. You’ll hand over both the raw export (CSV or XLSX) and a tidy, de-duplicated version ready for quick analysis. A brief log of your collection steps will help me reproduce or update the dataset later. If you’re experienced with social media data mining and can turn this around quickly, I l...

...All identified errors linked to a source or rationale • Summary highlights at least three widespread problems per batch and suggests fixes Turnaround on the first test set is flexible but ideally within 48 hours once materials arrive. Reliable communication and independent work are essential because the role is fully remote. If this scope matches your skill set, I’m ready to share the first dataset and guidelines right away....

...and refreshed results section. The current draft sits at roughly 6,500 words, including tables and figures, and explores clinical best-practice adoption in acute care settings. Key goals are to: • Reorganise the argument flow so each research question connects seamlessly to the literature review, methodology, results and discussion. • Re-examine the statistical treatment of the existing dataset, update any calculations, and clearly present revised findings in both textual and tabular formats (SPSS output and confidence intervals must be included in an appendix). • Tighten language for clarity and academic tone, ensuring APA 7th formatting throughout—citations, headings, tables and reference list. The supervisor’s margin notes and track-chang...

I have a structured customer-level dataset and the central aim is to turn it into a reliable predictor of future purchase behavior. The work revolves entirely around outcome prediction, not trend-spotting or process optimization, so every step—from cleaning the raw customer records to validating the finished model—should directly support that goal. Here is the flow I envision: • Data preparation: handle missing values, engineer features that truly influence buying decisions, and document every transformation in clear, reproducible code (Python, R, or SQL—whichever you prefer). • Model development: test several supervised learning techniques, benchmark them with appropriate metrics (AUC, precision-recall, or another mutually agreed KPI), and converge on...

I need a reliable contributor who can gather English-language text from Facebook and package it into a clean, well-structured dataset that can be used for downstream AI/NLP experimentation. The assignment is exclusively text-based; no images, audio, or mixed-media assets are required. Scope of work You will capture publicly available posts and their associated comments coming from Facebook pages or groups that allow legal, compliant scraping. Content must be written in English and sourced directly from the platform—no third-party aggregators. I am interested in a broad topical spread rather than a single niche so the final corpus reflects natural, everyday language as it appears in social media. Compliance & privacy All data has to be collected in accordance with Fac...

...markets that open, evolve, and resolve at different times. My concern is that my current LEAN bridge does not have enough historical Polymarket data in a format that allows it to perform the same type of quantitative discovery and validation that I would normally perform with years of futures data. I do NOT simply want to start the bot today and wait months or years for it to generate its own dataset. I need an EXPERT to determine exactly what historical data can realistically be obtained from the Polymarket API and related publicly available Polymarket data sources, and how that data should be transformed into a format that my QuantConnect/LEAN engine can actually use for research. Specifically, I want you to investigate and design a historical-data solution covering, where a...

I need native speakers of American English to help expand a speech-recognition dataset. Your task is simple: record yourself saying 30 individual words that I will supply. Clear diction, a quiet environment, and a standard U.S. accent are essential because the clips will be used exclusively for AI training. Once you accept the job, I will send the word list plus a quick recording guide. You may use any smartphone or USB microphone as long as the audio is 16-bit/44.1 kHz WAV or high-quality MP3 with no background noise. Deliverables • 30 separate audio files, one per word, correctly named as instructed I will review for clarity, absence of noise, and correct pronunciation before releasing payment. Turnaround is flexible but faster is appreciated.

...screenshots or scans of printed photos are allowed. Clear Face Visibility: No sunglasses, masks, hats, or hair blocking your eyes, nose, or mouth. Technical Specs: Images must be in JPEG format, with a minimum resolution of 512x512 pixels for the face area, and file sizes between 128 KB and 300 MB. Payout & Compensation: High payout rates are offered for every fully validated and accepted image dataset (up to 24 billable images per participant). If you are interested, please apply with your location and smartphone model. Rate is negotiable....

I need every record from my existing structured tables copied accurately into an online form. The tables hold mixed data—text fields such as names and comments alongside numerical values like prices and IDs—so careful attention to formatting is essential. You will open the spreadsheet, match each column to the corresponding field on the web form, and submit entries one by one until the dataset is fully migrated. Accuracy and consistency matter more than speed; the form must mirror the source exactly, including line breaks and number precision. Once complete, I’ll verify a random sample for correctness before signing off.

...monitoring endpoints or logs that expose runtime details such as vCPU/GPU minutes, memory usage, region and uptime. Scope of work 1. Collect the relevant utilisation statistics programmatically (Azure SDK or REST). 2. Translate those numbers into kWh consumed and CO₂ equivalent using accepted carbon-intensity factors for the Azure region in use (the Azure Sustainability API or any peer-reviewed dataset is fine). 3. Present a per-agent emission figure and a simple rolled-up report (JSON + CSV). 4. Package everything as a clean, well-documented Python module that I can drop into my existing Foundry workspace. Deliverables • Python source code with inline docstrings and a short README explaining setup, required environment variables and how to trigger the reporting ...

I have a batch of market-research responses sitting in Google Forms that need to be transferred into a clean, well-structured dataset. Your job is straightforward: pull the raw answers, weed out duplicates or obvious entry errors, standardize any open-ended text (capitalisation, spelling, date formats), and hand the result back to me so it is ready for analysis. You may work directly inside Google Sheets or export to Excel if that is faster, as long as the final file retains the question order and the column headings from the original form. No statistical interpretation is required at this stage—just meticulous data entry and cleaning. Acceptance checklist • Every response from the Google Form is accounted for (row counts must match) • Inconsistent capitalisa...

I want to transform a folder full of vacation and trip snapshots into a cohesive, print-ready photo album that my family can enjoy for years. All images need thoughtful curation, colour correction, light retouching (dust, blemish, horizon fixes), and consistent sizing before they are laid out in a narrative sequence. Preferred workflow • Non-destructive editing in Adobe Lightroom / Photoshop • Clean, modern album design in InDesign, Canva, or a comparable tool • Final files supplied as 300 dpi CMYK PDF for printing plus an sRGB PDF for easy digital sharing Deliverables 1. Retouched, high-resolution image set (JPEG or TIFF) 2. Fully designed 20–30 page album, print-ready and digital versions 3. Source files so I can update captions later Acceptance...

I need a detail-oriented freelancer to complete a quick micro task: Data entry of text data currently stored in several Excel sheets. Your job is to move every text record into the destination format I provide—most likely a shared Google Sheet or an online form—while preserving spelling, line breaks, and any simple formatting already in place. What you’ll deliver • A clean, complete dataset containing every row from the original Excel sheets • Consistent text (no lost characters, no added spaces) • A short log noting any unreadable cells or duplicates detected This is a straightforward assignment, so speed and precision matter more than advanced scripting. Familiarity with Excel shortcuts, basic data validation, and quick turnaround practices...

I have a sizeable customer-level transaction dataset covering the past two years, and I need clear, story-driven descriptive analysis focused on purchase behavior. The raw CSVs already sit in a cloud folder; they contain order IDs, customer IDs, product codes, timestamps, quantities and net revenue. Your job is to explore and summarise this information so I can quickly answer questions such as: • How often do customers buy and what is the typical basket size? • Which products or categories dominate repeat purchases? • What seasonality or time-of-day patterns emerge? • How does average order value shift across segments (e.g., first-time vs repeat shoppers)? Deliverables 1. A cleaned, well-documented dataset (Python script or SQL query includ...

...video will showcase a dynamic "Before & After" haircut transformation using photo references provided by us, enhanced with high-end AI cinematic transitions, professional sound design, and custom logo motion graphics. ​ Scope of Work & Deliverables ​Video Production: Create 30-second cinematic transformation videos based on photo reference pairs (Before & After) provided for each client. ​ Music Curation & Sound Design: Select and sync high-energy rap/hip-hop instrumental tracks (1 unique track applied across every batch of 5 videos). ​ AI Enhancements & Transitions: Use AI video generation tools (e.g., Runway, Luma Dream Machine, Kling, Pika, or Topaz) to create smooth, realistic, and cinematic transformation morphs/effects between the before and af...

...custom wake word. The goal is to build a production-quality wake word model that is highly accurate, responsive, and resistant to false activations. Scope of Work * Train a custom OpenWakeWord model from scratch or fine-tune an existing pipeline. * Use real positive voice samples from multiple speakers, accents, speaking speeds, distances, and environments. * Collect and use a large negative dataset containing similar-sounding words, random conversations, TV/audio, background noise, music, and other speech to minimize false positives. * Optimize the model for: * High detection accuracy * Extremely low false positive rate * Fast response time * Robust performance in noisy environments * Test extensively with real-world audio and provide performance metrics. * Del...

I want to capture Medicine,Ayurvedic,OTC,FMCG,Surgicals Complete Details from reliable online sources and deliver them in a clean, structur...current selling price, any listed MRP or discount, and live stock availability—without missing a single SKU that appears on the target sites. You may use Python (BeautifulSoup, Scrapy, Selenium, or similar), Node, or another proven stack as long as the extraction is accurate, duplicates are handled, and the run can be repeated on demand. Please return: • A CSV or Excel file containing the full dataset • The well-commented script or notebook so I can re-run the crawl whenever needed I will validate by spot-checking product counts against the source sites and ensuring the pricing and stock fields match what is displayed at...

...structural, locational, and categorical factors that don't always relate to price in a simple linear way. This project: Simulates a realistic residential listings dataset for 6 Indian cities (Indore, Bhopal, Pune, Bangalore, Nagpur, Ujjain), deliberately including missing values, duplicate rows, and data-entry outliers. Cleans and explores the data to understand what actually drives price. Trains and compares two regression models — Linear Regression and Random Forest. Wraps the better-performing model in an interactive Streamlit app so anyone can enter property details and get an instant price estimate. Note on the data: the dataset used here is synthetically generated (see ) rather than scraped, so the project can run fully offline and be reproduced by anyone...

I already have the full source code for a desktop .NET application and I’m happy with its functionality, but it feels sluggish. What I’m looking for is a focused performance pass aimed purely at speed—no new features or bug-hunting, just making the existing code run faster. Right now the two problem spots are: • Data-intensive routines ...hotspots—algorithm tweaks, async/await, caching, or any other proven techniques that trim execution time without breaking current behavior. Deliverables • Optimised solution/project files ready to build • Brief change log outlining the key optimisations and measured speed gains • Any scripts or settings used for profiling so I can reproduce the results I’ll provide the code and a sample dataset...

...with the opportunity for long-term collaboration How to Apply Please lead with relevant technical experience rather than a generic introduction. In particular, tell me: What production React or applications you have shipped Whether you have worked on applications involving complex regional, relational, CRM, or business data How you approached frontend performance as the application and dataset grew How you typically structure API integration, state, loading/error handling, and reusable components Which testing tools you use in production Please include live product links or GitHub repositories where possible. Relevant examples will carry significantly more weight than a polished generic proposal....

My goal is to compile all of my sales information from our e-commerce platform into one clean, reusable dataset. I already have platform access and the required permissions; what’s missing is a reliable process that extracts the raw order data, standardises the fields, and delivers it in a format my team can filter, analyse, and update whenever we need. The platform’s API is available, so scripting in Python, pulling through a tool like Power Query, or another API-friendly method is perfectly acceptable—whichever gives us accurate, complete results. Because there’s no strict deadline, I prefer a well-documented, future-proof approach over a rush job. Deliverables should include: • A consolidated CSV or Excel file containing every transaction to date ...

I’m building a cross-platform application that lets...maintain the code. Acceptance criteria • One set of credentials logs each user into their specific role with the correct permissions. • GPS locations update automatically every few seconds and render on Google Maps/Apple Maps in both mobile and web views. • The admin dashboard aggregates orders, stock, and user analytics without lag when tested with 1,000+ simultaneous sessions. • A demo dataset shows the full ordering flow—customer request, supplier confirmation, live delivery tracking, and proof of delivery upload—working flawlessly. If you have shipped similar marketplace or logistics apps, especially with real-time location features, let’s talk about timelines and a milest...

...database design, efficient change listeners, and a push mechanism that keeps screens in sync without manual refresh are essential. Deliverables • Backend service (API or websocket) that broadcasts stock changes in ≤2 seconds after a sale • Dashboard or endpoint showing live “Current Stock + Sales History” per SKU • Local-to-cloud sync logic with conflict handling documented • Test script or dataset proving reliability under at least 500 concurrent transactions • Deployment guide that my in-house IT team can follow Acceptance criteria An item is scanned, the sale is completed, and every connected device reflects the new stock figure and its corresponding sales record almost instantly (target: sub-2-second latency on LAN, graceful q...

I’m kicking off a new he...future environments. • Provide clear, developer-friendly documentation so my upcoming UI and integration teams can plug in without friction. Acceptance criteria: • Core entities—patients, encounters, clinicians, appointments, audit trail, and billing items—are modelled with clear primary/foreign keys. • Common queries (retrieve or update a full patient record) execute in under one second on a dataset of at least 100k patients. • Sensitive fields are encrypted at rest, and access roles follow least-privilege principles. Once this foundation is solid, follow-on milestones may expand into interface design or third-party integrations, but the immediate deliverable is a secure, performant, and well-documented datab...

...extract structured information from relevant publications, such as: * Research methodology * Variables * Dataset characteristics * Statistical methods * Research objectives * Main findings * Limitations * Referencing information The system should maintain source traceability so that generated content can be connected back to its underlying sources. 3. Dataset Management Users should be able to upload datasets in common formats such as: * CSV * Excel * JSON * Other structured formats The system should inspect uploaded data and identify: * Variables * Data types * Missing observations * Potential inconsistencies * Descriptive statistics * Possible transformations * Whether the dataset is suitable for the proposed research methodology Where appropriate, the pla...

...too quickly the UI flags it instantly. • While the scan is running, the app automatically records twelve girth measurements around key points of the foot and traces the dorsal outline for pattern work. • Approximately twenty-four still photos are grabbed during or immediately after the scan for colour and surface reference. • When finished, the app packages the STL mesh, the measurement dataset (preferably CSV or JSON), and the image set, then transmits everything directly to our secure endpoint. Acceptance criteria – Sub-millimetre accuracy on the mesh when tested against a calibrated last. – Automatic measurement variance no greater than ±1 mm compared to manual tape. – Clean, watertight STL ready for slicing with no post-rep...

I’m looking for an **expert Computer Vision / YOLO specialist** to optimize my existing object detection model. I already have: * PC with NVIDIA GPU * Dataset and annotations * Training environment/setup * Existing YOLO model and baseline results ### What I need I need someone experienced who can **analyze the dataset and model, experiment with training parameters, augmentations, image size, batch size, learning rate, model configuration, etc., and achieve the best possible results.** This is **not just a training job**. I want someone who can analyze false positives/negatives, identify weaknesses, run experiments, compare results, and intelligently tune the model. Remote access to my PC will be provided. **Experience with YOLO, PyTorch, object detection, small-o...

I need an experienced analyst to turn my historical sales data into a forward-looking forecast entirely in Excel. Your task is to clean the raw figures, build an accurate predictive model, and present the results in a format that a non-technical stakeholder can understand at a glance. The dataset arrives as monthly CSV exports. After cleaning, I expect you to apply appropriate time-series or regression techniques available within Excel—think Data Analysis ToolPak, Power Query, Solver, or even VBA if it streamlines the workflow. Please document every transformation step so the model can be refreshed with new data later. Deliverables • A well-structured Excel workbook containing: – The cleaned data sheet – The predictive model with formulas fully visible...

...working on my PhD project on **AI-based detection of patient–ventilator asynchrony (PVA) from ventilator waveforms**, and I’m looking for a Python/AI developer. The project will involve: 1. **Physics-based synthetic waveform generation** using lung-mechanics equations to generate realistic Paw, flow and volume signals, initially focusing on normal breathing and double triggering. 2. **Synthetic dataset creation** with waveform signals, images, labels and physiological parameters. 3. Addition of realistic **noise, artefacts and physiological variability**, followed by diffusion-based augmentation. 4. Development of AI models using **time-series and waveform images**, including Transformers, CNNs, Bi-LSTM and Swin Transformer. 5. **Multimodal fusion** of signal and im...

I need a full-stack team to create an end-to-end insurance quotation platform that works seamlessly on the web plus native iOS and Android apps. The core flow is simple: cu...private repository with documentation 5. Deployment scripts and CI/CD pipeline for staging and production 6. Post-launch support window for bug fixes Acceptance Criteria • Customers can obtain side-by-side quotes from at least three insurers in under 30 seconds. • All data in transit and at rest encrypted (TLS 1.2+, AES-256). • Admin analytics load in under two seconds on a 50k-record dataset. • Apps pass Apple and Google review on first submission. If this matches your skill set and you can outline a phased timeline, toolchain and testing strategy, I’d love to hear how y...

I have several digital files that need to be brought together in a single, well-organized Excel workbook. Your task is to enter the data accurately, structure it into clear tables, and then build insightful line charts that highlight the most important trends in the dataset. Here’s what I need from you: • A tidy Excel workbook containing all imported data arranged in logical tables. • A set of line charts—one for each key dataset—linked to those tables so that updates flow automatically. • Brief summary tables beneath each chart, showing the figures that drive the visuals. Accuracy is critical, and the final file should be easy for me to maintain and update without breaking any references. If you’re comfortable handling digital sou...

...Processing logs User Interface  Live view  ROI selection  Exposure settings  Capture  OCR results  Save settings Software Requirements  C++  OpenCV  Ubuntu Linux  NVIDIA Jetson  TensorRT (preferred)  ONNX Runtime (optional)  Tesseract/PaddleOCR Deliverables  Complete source code  Build instructions  Installation guide  User manual  Documented code  Camera configuration  Test dataset  Sample results  Deployment support Acceptance Criteria  Runs on Jetson Orin Nano  Reliable OCR under controlled lighting  Near real-time processing  Modular architecture Future Opportunities Successful completion may lead to follow-on projects in barcode reading, AI inspection, robot guidance, PLC communication and multi-camera vision. Proposal Requirements  Relevant exper...

I have raw financial data that needs to be turned into clear, decision-ready insights. Your job is to work in Microsoft Excel, using advanced formulas to analyse...calculations are in place, I’d like the key findings presented in a concise Microsoft Word summary so stakeholders can review results without opening the workbook. Deliverables: • A clean, logically structured Excel file with all formulas in place and commented. • A brief Word report (1–2 pages) highlighting the main financial insights and instructions for updating the model. I will supply the dataset as soon as the project starts and be available for quick clarifications throughout. If you’re fluent in functions such as INDEX-MATCH, SUMIFS, IFERROR, and nested logical tests, this assignmen...

...hand-only gestures. **Scope of Work:** * Review, clean, and augment our existing Roboflow dataset or assist in sourcing/annotating edge-case images. * Define a robust labeling framework (e.g., multi-class classification or 2-stage object detection: Person $rightarrow$ Face/Hands $rightarrow$ Compliance state). * Train and fine-tune a SOTA detection model (YOLOv8/v11, Roboflow Workflows, or custom PyTorch pipeline). * Optimize for high Precision and Recall on edge cases (low light, overhead angles, fast hand movement). * Export model weights (ONNX, PyTorch, or Roboflow Hosted API) for seamless integration into our existing codebase. **Deliverables:** * Fully annotated and balanced Roboflow dataset (including train/val/test splits and augmentations). * Trained model fi...

I have a corpus of Arabic hotel-related customer reviews that...needs precise, aspect-level sentiment annotation. Your task is to label each mention of features such as cleanliness, location, and similar aspects with its corresponding sentiment (positive, negative, or neutral) so that downstream models can learn fine-grained insights, not just an overall score. The raw texts are already cleaned and segmented; what I require from you is the fully annotated dataset following a guideline document describing the aspect of each category of hotel. I am currently interested only in customer reviews. Please be comfortable working in Arabic, familiar with sentiment analysis best practices, and ready to deliver the final files in Excel. I will give you a sample to make sure you understand e...

I need a SAS specialist to dive into a set of customer data and surface clear, actionable insights. The assignment focuses strictly on data analysis—no predictive models or formal reporting packs are required at this stage. You will receive the raw customer dataset along with a brief that outlines the key business questions. Once you have cleaned, explored, and summarized the information in SAS Studio (or a comparable SAS environment), I’m expecting: • A well-commented SAS program that reproduces every step, from data import through to the final tables/plots • A concise insight summary (PDF or PowerPoint) highlighting patterns, trends, and any anomalies worth escalating If you see additional value in analysing behaviour, satisfaction, or demographic ...

...pages: About, Pricing, Terms & Conditions, Privacy Policy, Contact. Acceptance criteria – Photo uploads are blocked until the automated check returns “verified”. – A new account cannot reach the search page until payment succeeds. – Searches using caste/tribe/religion and marital status/medical history must return correct filtered results in under two seconds for a 100 k profile test dataset. – All inputs, passwords, and payments are handled over HTTPS with standard encryption practices. I’m flexible on the stack (PHP/Laravel, Node/React, or similar) as long as it is secure, documented, and easy to maintain. Please outline the milestones you foresee, the libraries or SaaS services you propose for photo verification, and an...

...demographics, clinical features, interventions, and outcomes, but they need to be extracted, coded, and organised into an analysable dataset first. Your role is to turn those narrative files into a structured cohort analysis that will stand up to peer review. This involves outlining the cohort design, specifying inclusion/exclusion criteria, transforming the text data into a clean spreadsheet or database, running the appropriate statistical tests, and writing up the results in line with STROBE guidelines. I am comfortable with R, SPSS, or Stata outputs; choose whichever you prefer as long as the code is reproducible. Deliverables • A de-identified, analysis-ready dataset with a data dictionary • A brief study protocol describing the cohort framework and...

...history. Standardised data model for athletes, teams, sessions, tests, GPS/load, wellness, and movement metrics. Web dashboard with athlete, squad, and organisation views. Filters by athlete, team, date range, data source, sport, test, and metric. Trend charts, KPI summaries, recent results, comparison views, and exportable reports. Source attribution and last-refresh timestamp for every dataset. Role-based access: administrators, coaches, practitioners, and read-only users. Secure API credential storage, encrypted data transfer, audit trail, and backup process....

...concept using widely-used tools—Excel, Python (pandas, SciPy, statsmodels) or R—whichever you feel most comfortable teaching. • Practical exercises with sample or client-supplied data, followed by detailed feedback on my approach, code, and interpretation. • Short quizzes or mini-projects to track my progress and highlight areas that need reinforcement. • A final capstone task where I choose a dataset, design the analysis end-to-end, and receive a comprehensive review from you. Please let me know: 1. Your preferred software/platform for demonstrations. 2. How you structure tutoring sessions (length, frequency, and typical timeline). 3. Any previous teaching or mentoring experience that shows you can break down complex statistical ideas into...

# Google Maps Data Scraping Developer – Full Country Dataset We are looking for an experienced **Web Scraping / Data Extraction Developer** to build a reliable scraper for collecting business and place data from Google Maps. The goal is to collect a **complete dataset for an entire country**, including categories such as: * Hotels * Restaurants * Companies * Shops * Hospitals * Clinics * Banks * Schools * Government offices * Tourist locations * And other available business/place categories ### Data to Collect For each location/business, the scraper should collect as much complete information as available, including: * Business / Place Name * Category * Full Address * Latitude / Longitude * Google Rating * Number of Reviews * Phone Number * Website * Google Maps U...

...difficult about it? 2. Have you worked with marine, oceanographic, weather, environmental, geographic or other time-series data? Please explain exactly what you worked with. 3. How would you approach matching information from several different sources when the same physical location may have different names, coordinates or IDs? 4. How do you determine whether information collected from an API, open dataset or scraped source is reliable enough to use in a production system? 5. Have you built a scoring, ranking or recommendation system before? Please describe the logic and your role. 6. How would you architect a system that collects information from multiple sources and automatically updates different datasets at different frequencies? 7. How would you track data provenance s...

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...professional to diagnose the root causes, fix the existing errors, and set up preventive checks so the same issues do not creep back in. The raw data is already exported to CSV and can be shared immediately. You are free to use the tools you know best—Python (pandas, NumPy, fuzzy-wuzzy), SQL, Power Query, Talend, OpenRefine, or even a combination—as long as the result is a clean, validated customer dataset ready for direct upload into our CRM. Deliverables • Cleaned customer data file in the original schema • A concise log or script showing every transformation step for reproducibility • Summary report that quantifies missing data filled, duplicates removed, and incorrect values corrected, plus any recommendations for ongoing validation rules ...

...our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply (normalisation, tokenisation strategy, train/validation/test partitioning, and any feature engineering). • Design several prompt templates that systematically vary along the preprocessing and evaluation dimensions we’ve highlighted. • Implement an evaluation pipeline that repor...

...– Player 2 22. Ace Against % – Player 2 Please use Excel formulas for the calculated fields where appropriate. Important The most important requirement is data accuracy and correct player matching. The final dataset must correctly link: Match → Players → TennisTourData statistics → Aces Against statistics → Actual match Aces. Please pay particular attention to players with similar names or the same surname. I would also appreciate a second Sources sheet containing the URLs used to obtain the data, if possible. Test before the full project Before completing the entire dataset, I would like the freelancer to demonstrate the process on 5–10 matches. The test should include all the requested fields and demonstrate that the data i...