Hire the Best Pandas Developers
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Web scraping is a pain in the neck. Leave the worrying to me for a bit. I am a Python Developer with 3 years of experience specializing in turning messy websites and locked PDFs into clean, usable data. I don't just "get data"—I structure it so you can actually use it. 🏆 Why Hire a Python Expert for Scraping? Clean Code, Clean Data: 3 years of Python experience means your data isn't just "scraped"—it's cleaned, structured, and ready for use. Anti-Bot Navigation: I specialize in finding ways around Cloudflare, DataDome, and CAPTCHAs using modern headless browser techniques. Reliability: My background in automation means I build systems with error handling and logging—if a site changes, the script doesn't just crash; it tells us why. Infrastructure Mindset: I understand how to manage proxy pools and headers to keep your scrapers running undetected. 🟢 WHAT I CAN DO FOR YOU: Web Scraping: Reliable data extraction using Requests, Playwright, Beautiful Soup and Selenium. PDF Data Mining: Converting thousands of PDFs into structured spreadsheets. Data Transformation: Taking raw data and cleaning/formatting it using Pandas. Automation: Writing Python scripts to handle repetitive data tasks. 🟢 YOU NEED ME IF: You are tired of "cheap" scrapers that get blocked after 100 requests. You have a folder full of PDFs and you need that data in Excel. You have a complex site (Infinite scroll, heavy JavaScript, Login walls) that "basic" tools can't handle. You want a developer who communicates clearly and hits deadlines. 🟢 YOUR BENEFITS OF WORKING WITH ME: Scalable Solutions: I write code that can grow from 1,000 to 1,000,000 records. Production-Ready: I use tools like Redis and Scrapyd for high-performance, asynchronous crawling. Consultative Approach: I’ll tell you the most cost-effective way to get the data you need without burning through expensive proxies. 🕷️ MY SCRAPING TECH-STACK 🕷️ Python | Selenium | Playwright | BeautifulSoup (BS4) Tools: Requests, Proxy Management, Captcha Solving Services,CSV/Excel/JSON.. Ready to get your data? Send me a message with a link to the site or a sample PDF, and I’ll get started.

Bioinformatics Specialist & Data Scientist with Full-stack Developer and Platform Engineering Expertise PhD in Bioinformatics with a robust foundation in designing and optimizing data pipelines, ETL processes, and integrating large-scale biological datasets. Over 6 years of professional experience in developing end-to-end data processing workflows, building and deploying scalable machine learning models, and implementing statistical models. Proficient in architecting and automating data platforms, ensuring efficient data flow and real-time processing for high-throughput genomics, proteomics, and other omics data. Expertise in creating full-stack solutions that transform complex biological research into actionable insights, leveraging advanced data transformation, analysis, and visualization techniques. Skilled in bridging the gap between bioinformatics and software development, delivering scalable, reliable, and maintainable data solutions. Technical Skills: • Programming Languages: Python (7+ years) • Data Processing: Pandas, Numpy, and other Python-based data manipulation tools • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB), Vector (Milvus) • Data Pipelines: ETL processes, Snakemake • Machine Learning: PyTorch, Scikit-learn, model deployment • Data Visualization: Matplotlib, Seaborn, Plotly, interactive dashboards Bioinformatics Tools: • Programming Libraries: BioPython • Genetic and Variant Analysis: PLINK, GATK (Genome Analysis Toolkit), variant calling • Sequence Alignment: MUSCLE • Genomic Studies: GWAS tools Molecular Modeling Tools: • Molecular Dynamics: AMBER, GROMACS • Structural Visualization: PyMOL • Docking: AutoDock, VINA, DiffDock, etc. • Protein Structure Prediction: AlphaFold • Applications: Molecular dynamics simulations, structural bioinformatics Extensive experience integrating a wide range of bioinformatics databases across various domains into pipelines and custom software: Genomic Databases, e.g, NCBI (GenBank, RefSeq), Ensembl, ClinVar • Protein and Structural Databases, e.g. UniProt, PDB, InterPro, Pfam • Pathway and Functional Databases, e.g. KEGG • Chemical and Drug Databases, e.g., ZINC, PubChem, ChemDB, DrugBank