Pandas Jobs

We are looking for a Python developer to develop a small automation script that can automate a repetitive manual business process. Project Requirements: - Develop a Python script to automate the defined workflow. - Read and process data from Excel/CSV files. - Perform basic data validation, cleaning, and transformation. - Apply predefined rules/logic to the data. - Generate an automated output file/report. - Include basic error handling and clear comments in the code. - The script should be easy to run and modify in the future. Ideal Skills: Python Pandas Excel/CSV automation Data processing Process/workflow automation Basic error handling The project is relatively small and should be straightforward for an experienced Python developer. We will provide the detailed workflow, input f...

I’m working through a graded assignment for my Data Science & AI course and need an expert hand with the assignment portion. The task isn’t massive, but it does require someone who can walk me through each step, provide clean, well-commented code (Python preferred), and explain the reasoning in plain language so I can confidently discuss the approach later. What I’ll need delivered: • A reproducible notebook or script that tackles the assignment requirements from data preprocessing through model evaluation • Brief inline comments plus a short write-up (one page is fine) summarizing methods, key metrics, and why those choices make sense • A quick call or chat after delivery so I can clarify any points before submission If that sounds straightforwa...

I need a concise, end-to-end Python workflow that turns a small customer transaction & engagement dataset into clear insights about how people behave on our platform. The data will require thorough cleaning and validation, thoughtful feature engineering, and sensible normalization before any analysis begins. Once the data is tidy, please explore it with Pandas and NumPy, surface the most useful behavior patterns, then build a light predictive component focused on customer segmentation. A handful of well-chosen Matplotlib charts should illustrate the key trends and support the final narrative. Deliverables • A single, well-commented Python script or Jupyter Notebook that runs start to finish without manual tweaks • The cleaned, processed version of the dataset saved ba...

I have a CSV file with a blend of numerical and categorical columns that I’d like you to explore with Python. Your task is to write clean, well-commented code—preferably in a single, logically organized notebook or script—that walks through data cleaning, imputes missing values using the mean or median as appropriate, and then performs a concise exploratory analysis. Once the data is ready, generate a set of bar charts, line charts, and scatter plots with Matplotlib (seaborn is fine if you prefer) so the insights stand out clearly. Please rely on Pandas for wrangling, NumPy for any numerical work, and Matplotlib for the visuals. Keep the logic straightforward and easy for another developer to follow. Deliverables • Python source code (with comments and logical sect...

I need a clean, well-documented Python script that can pick up CSV files from a watched folder, process them according to my business rules, and then push the results to a designated output location. The workflow breaks down into three core parts. 1. File I/O handling • Automatically read incoming CSV files. • After processing, write the transformed data to a separate folder. • Rename each source file to a timestamped archive name and move it to an “_archive” sub-directory so nothing is re-processed by mistake. 2. Data processing & algorithmic checks The CSVs include a fixed header row followed by transactional records. For every row the script must: • Run field-level validation (type, range, mandatory columns). • A...

**Amazon Laptop Web Scraping & Data Extraction** Developed a Python-based web scraping project to collect laptop product information from Amazon search results and convert unstructured HTML data into a structured dataset. **Key work performed:** • Automated Amazon search-page navigation using Selenium WebDriver • Scraped laptop listings across multiple search-result pages • Collected and saved **438 product HTML containers** for further processing • Parsed HTML content using BeautifulSoup • Extracted product information including **model name, price, rating, and available offers** • Implemented handling for missing values using `"N/A"` • Combined scraped records into a Pandas DataFrame • Exported the final structured dataset to CSV f...

I already have the dataset, an initial Logistic Regression model, and a rough Streamlit prototype. I now need a clean, production-ready web application that lets a student enter basic details—academic scores, extracurricular activities, and technical skills—and instantly returns the percentage likelihood that they will be placed. No login or sign-up flow is required; the interface should open straight to the form and result. Here is what is in place so far: • Data: inside /data • Training scripts: and in /src • A pickled baseline model () and a placeholder Streamlit file () You’ll refine or retrain the model with scikit-learn, tidy the codebase, and polish the Streamlit UI so the prediction feels seamless and engaging. Pandas will remain the core ...

AI-Powered Sales & Operations Reporting System with Automated ETL Pipeline and Power BI Dashboard We are looking for an experienced Data Analytics & Automation Developer to build a fully automated reporting solution that consolidates business data from multiple sources into a centralized Power BI dashboard. Project Overview: Our company currently relies on several disconnected systems including Excel reports, SQL databases, CRM exports, and online APIs. Reporting is manual, time-consuming, and prone to errors. We require an automated data pipeline that extracts, cleans, validates, and combines data into a single reporting database while providing executive-level Power BI dashboards with real-time KPIs. The selected freelancer will be responsible for designing and implementing an...