Python-Driven OSP Field Location Research

@imraz2016

I am experienced with Python Projects. Hi There, I can research **TX, OK, and AR field-operation locations** by combining Python-assisted discovery with manual verification. I’ll focus on construction yards, regional offices, warehouses, permits/projects, job postings, Google Maps, company websites, DOT/utility records, and LinkedIn—not just headquarters. I’ll verify each company’s OSP/fiber/underground construction activity, then identify relevant local decision-makers in construction, operations, projects, materials, and purchasing, with source links and verification dates. I’m ready to start with the paid test batch immediately.

@imtyzooel71n

**“I am experienced with Python Projects.”** Hi, I am Senior Python script developer with 13 years of experience. I can scrape your required data by python script/bot with your instructions very short time. Can we discuss please? Thanks

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Verified Database of OSP Construction Locations in TX, OK & AR ❇️ Hi My Friend, I hope you're doing well. I just checked all of your project requirements and I can see you are looking for a Python research specialist to develop a verified business prospect database. You have no need to look any further as Zohaib is here to help you! My team has already completed 50+ similar projects in database creation. I will focus on identifying physical field operations and verifying relevant contacts, ensuring quality and accuracy within your budget. ➡️ Why Me? I can easily do your project on OSP construction locations as I have 5 years of experience in Python research, data verification, web scraping, and database management. Not only this, I have a strong grip on data analysis and using various research tools, ensuring a thorough approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Web Research ✅ Data Verification ✅ Excel Database Creation ✅ Data Scraping ✅ Field Operations Research ✅ Decision-Maker Identification ✅ Data Analysis ✅ Project Management ✅ Contact Information Gathering ✅ Quality Assurance ✅ Research Tools Utilization Waiting for your response! Best Regards, Zohaib

@ashikmohann

Hi, I’m a Machine Learning/AI Engineer with 7+ years of experience building and deploying production-grade AI, ML, Generative AI, RAG, and Agentic AI solutions. My expertise includes Python, FastAPI, Flask, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, MCP, Azure OpenAI, Elasticsearch, vector search, AI agents, multimodal AI, LLM evaluation, MLOps/LLMOps, Docker, Kubernetes, CI/CD, and cloud platforms including AWS and Azure. I have hands-on experience taking projects end-to-end—from understanding requirements and designing the architecture to development, API/enterprise integration, testing, deployment, monitoring, and production support. My work includes multi-agent RAG systems, MCP-based enterprise agents, intelligent document processing, SDLC automation, and scalable ML services. I focus on clean, modular, maintainable solutions with strong attention to performance, security, reliability, evaluation, and business outcomes. I can adapt the architecture and technology stack based on the project's requirements. I’d be happy to discuss your requirements and propose the most suitable technical approach.

@ShaikhAneesa

Hi there, I am experienced with Python Projects. I have carefully reviewed the project requirements for the Python-driven OSP Field Location Research focusing on Texas, Oklahoma, and Arkansas. Let's chat and discuss it further. To handle your project, I will start with utilizing Python for web research to locate physical field operations by scraping data from industry-specific websites and databases. I will then cross-verify this information through direct contact with the companies to ensure accuracy. Additionally, I will leverage tools like Google Maps API and industry publications to pinpoint construction yards and regional offices. The deliverables for this project will be a comprehensive Excel database containing verified business prospects with detailed company/location information and relevant contacts. Before signing-off my bid, I would like to ask a question, i.e., "Are there any specific criteria or key indicators you prioritize when selecting potential prospects?" Warm Regards, Aneesa.

@dvcontact

Hello Sir, Imagine having a tailored demo of our Python-driven OSP field location research solution well before any commitment. I am experienced with Python Projects and will leverage specialized techniques to identify physical field operations, ensuring we target key construction yards and regional offices specifically involved in the OSP sector. Let's discuss further how we can craft a verified prospect database that meets your needs, and I can provide a demo showcasing our research capabilities. Regards, Smith

@WelcomeClient

Hi There, Ready right now I'm ready to Python-Driven OSP Field Location Research. I will show you sample for your satisfaction and project accuracy then we will go to start, so please contact me and share more details thanks. Check My Profile: https://www.freelancer.pk/u/WelcomeClient I would like to work on this project and can complete with 100% accuracy within the time frame. https://www.freelancer.pk/projects/excel/business-profit-loss-reporting-excel/reviews https://www.freelancer.pk/projects/data-entry/copy-listings-from-website-another/reviews Thanks, Umer

@zafarfarooq612

Hello, I am experienced with Python Projects. I can identify verified OSP field locations not just headquarters using Google Maps, company websites, project records, permits, LinkedIn, and industry sources. I’ll verify construction activity, find relevant local decision-makers, remove duplicates, and provide accurate Excel data with sources and verification dates. I’m ready to start with the paid test. Regards, Zafar

@techplusintl

I am experienced with Python Projects. To develop a verified business prospect database, I can utilize targeted web scraping techniques to locate physical field operations instead of just corporate headquarters. This involves analyzing company websites, industry directories, and local business listings to find specific operational sites. I will verify that the companies perform relevant field construction work by cross-referencing their project portfolios, checking industry certifications, and consulting local construction permits. Identifying and verifying useful local or regional decision-makers will involve leveraging LinkedIn, industry associations, and networking within construction forums to gather accurate contact information. I will employ tools such as Python libraries for web scraping, data validation APIs, and Excel for organizing the database. For the initial test, I will need access to any specific criteria you have for the prospects and any preferred formats for the database. Thanks!

@ImranAli01

I am experienced with Python Projects. Hi there, I went through your project description and understand you need a verified prospect database covering physical OSP construction locations across Texas, Oklahoma, and Arkansas, rather than generic corporate headquarters. I will use Python with BeautifulSoup, Selenium/Playwright, Pandas, Google Maps, company websites, state/local business records, contractor directories, project sources, LinkedIn, and other relevant databases to locate field offices, construction yards, warehouses, and operating locations. I will cross-check each company against evidence of OSP fiber, broadband, underground utility, or related infrastructure work. I will identify local and regional decision-makers across construction, operations, project management, purchasing, and materials, then verify their role and available professional contact information against company or professional sources. Every record will include sources, verification dates, location details, and selection rationale. I will start with the paid test, refine the methodology based on your feedback, and then scale the verified research. Could you confirm the preferred Excel column structure for the initial test? I will share a project blueprint within 24–48 hours of award and begin immediately. Kind Regards, Imran Ali

@kabirchy

Hi there, I understand you need a comprehensive and verified business prospect database for Texas, Oklahoma, and Arkansas. I can help you achieve this by leveraging my expertise in Python, web scraping, and data analysis. Here's how I'll approach the project: - Conduct thorough web research to gather relevant business data. - Use Python and web scraping tools to automate the collection of data from various sources. - Clean and validate the data to ensure accuracy and completeness. - Organize the data into a well-structured and easily accessible database. - Provide the final output in a format that suits your needs, such as Excel or a structured database. I have extensive experience in similar projects and am confident in delivering high-quality results. Let's get started on building your database. Best Regards, Khorshed Alam, RS Software

@emilesd617

I am experienced with Python Projects. Hi, I am a Python research and data specialist with 8 years of rich experience in software development, with a background in web research, data mining, web scraping, structured databases, and Excel based research workflows. I am familiar with Python, web scraping, data mining, data analysis, Excel, database development, web research, and data verification. For this OSP research project, I can identify actual field operations by cross checking company location pages, Google Maps, business directories, construction records, job postings, state and local sources, and other location specific evidence rather than relying only on corporate headquarters. I can verify relevant fiber, broadband, underground utility, and infrastructure construction activity, then research local decision makers in operations, construction, project management, materials, and purchasing. Each record can include source links, verification dates, contact information, and a brief reason for inclusion, with the initial paid checkpoint used to validate the research quality before scaling the database. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@mamuncmt

Hello, I am experienced with Python Projects. i will use Python-assisted web research, Maps, permits, contractor records, project announcements, job postings, and company sources to identify actual OSP fiber construction yards, field offices, warehouses and regional operations in TX, OK & AR. I will verify each company’s construction activity using multiple independent sources and record the evidence and verification date. I will identify local/regional decision-makers in construction, operations, projects, purchasing and materials, then cross-check their roles and location. For testing, give me a work I will do the test for free. Thank you

@TeraByte26

I am experienced with Python Projects. Hi Tim, I will deliver a verified Excel database of Texas, Oklahoma and Arkansas OSP construction yards, warehouses and regional offices with contacts, sources and verification notes. I will complete the test set within 48 hours for $30. Ready to start now—any specific source preference? Waiting for your response in chat! Best Regards.

@muneeb6767

I am experienced with Python Projects. I’ll identify actual OSP field yards, warehouses and regional operating locations across TX, OK & AR using Google Maps, company sites, permits/directories and industry sources, then verify construction activity and find local decision-makers through LinkedIn and public business sources. I’ll document sources, verification dates and selection reasons in Excel, starting with your paid test.

@gotucat

Hi, I am experienced with Python Projects. I reviewed the project and understand the main requirement is building a verified Excel prospect database of physical OSP field locations across Texas, Oklahoma, and Arkansas, not generic headquarters. I’ll use Python web research to locate construction yards, regional offices, warehouses, and operating locations, then apply Excel, Database Development, and Data Analysis practices to organize company details, contacts, sources, verification dates, and selection reasons. I’ll verify relevant fiber, broadband, underground utility, and infrastructure work through company pages, project records, filings, directories, permits, mapping data, and professional profiles, while identifying local decision-makers in construction, operations, purchasing, and project management. I’ll provide careful source-based research, clean records, responsive communication, and a focused paid test checkpoint for easy quality review. Let’s discuss here now.

@eliza019

I am experienced with Python Projects. Hello, I can build a verified prospect database focused on actual OSP construction field locations across Texas, Oklahoma, and Arkansas—not just corporate headquarters. My approach would include: • Using Google Maps, company websites, state/local business records, construction directories, permit data, job postings, and other reliable sources to identify yards, warehouses, regional offices, and field operations. • Verifying that each company is actively involved in OSP fiber, broadband, underground utility, or related infrastructure construction through project evidence, service descriptions, permits, job postings, and other supporting sources. • Identifying local/regional decision-makers in construction, operations, project management, purchasing, materials, and related roles through company sources and professional databases. • Cross-checking contact details and recording the supporting source, verification date, and reason each prospect qualifies. • Using Python for data collection, cleaning, deduplication, normalization, and structured Excel output where appropriate. • Maintaining clear research notes so every prospect can be reviewed and validated. I understand that accuracy and location-level verification are more important than simply producing a large list. I’m also comfortable starting with the paid test/checkpoint and refining the process based on your feedback before scaling the research.

@Lincolnwhiz

To ensure companies perform the relevant work you seek, I will analyze company information such as type of services offered, client portfolios and past projects. Broader insights such as employee spread across teams will further provide a picture of their field operations. Additionally, I can retrieve public records and OSHA logs to verify their field-operations work history. Identifying local and regional decision-makers is crucial in your line of work. With my data modeling and visualization skills using Power Query, I can merge multiple datasets into a cohesive and insightful database. Further research on LinkedIn and industry forums will help me validate the roles and functions of these decision-makers. In terms of tools, I'm proficient with Python modules for robust web scraping like BeautifulSoup and requests library. But it doesn't stop there; I have a tailored approach for each project. Combining my expertise in automation tools like VBA macros with Power Query functions will ensure top-notch data extraction, cleaning & formatting - making your end product premium-quality. By choosing me, you're opting for meticulousness in research, automation to save your time and a commitment to delivering high-quality work with every detail accounted for. Let's proceed with the small paid test/checkpoint to get started on transforming your business prospect database into gold.

@AndrewJSMAN

I am experienced with Python projects, including web scraping, data mining, and database development, so this is right in my wheelhouse. I'll start by scraping construction and utility company websites, LinkedIn profiles, and local business directories for field locations, then verify with Google Maps, project databases, and public records to confirm OSP/broadband work. For decision-makers, I'll cross-reference job postings, LinkedIn, and company websites for roles like project managers or operations leads, then validate via email patterns and public records. My toolkit includes BeautifulSoup, Scrapy, Selenium, and APIs like Google Places and LinkedIn, with Excel for structured output. I can start immediately. Thanks, Andrii.