Full-stack developer for production web apps—Python (FastAPI), React/Next.js, REST APIs, auth, admin dashboards, and SaaS MVPs. I also build RAG chatbots and doc Q&A with citations when you need AI in the product. Top Rated · 100% JSS · IBM AI certified · 5.0-rated $2.5k MVP delivered (FastAPI + React). Clear communication, fast delivery, maintainable code. What you get in Phase 1 (~1 week): • Scoped working milestone: core API, database, auth, and admin shell—or a RAG demo with real doc upload + cited answers • Fixed-price milestone before full build—no vague hourly drift • Clean handover: docs, repo structure, deployment notes I also help with: dashboard features, API integrations, bug fixes, ETL/automation, and scaling existing apps. Stack: Python (FastAPI), Next.js/React, PostgreSQL, Docker, AWS/Azure; OpenAI/Claude, LangChain, pgvector/Pinecone for RAG. How we work: quick scope call or async brief → Phase 1 milestone in ~1 week → iterate → production-ready handover. Share your repo, spec, or site URL and what you need built—I’ll reply with a clear plan and a fixed-price Phase 1 offer.

BA in Economics and Financial Management, I have focussed my career in Data Analysis, Data Visualization and Business Intelligence, with hands-on experience in exploratory data analysis (EDA) and data modeling. Self-taught and always willing to learn new technologies

🚀 Top Rated | 100% Job Success | 15+ Completed Projects I help businesses collect clean, structured data from the web and automate repetitive workflows so their teams can focus on higher-value work. ⚡ What I Deliver ✅ Web Scraping & Data Extraction Custom scrapers built with Python, Playwright, Selenium, and BeautifulSoup. Experience handling anti-bot systems (Cloudflare, captchas), proxy rotation, geo-restricted content, and authenticated sessions. Delivered projects including US county public records, real estate listings, e-commerce product data, and home improvement inventory across multiple US counties. ✅ AI Automation with n8n End-to-end workflow automation connecting CRMs, Google Sheets, email, Notion, Airtable, and REST APIs. AI-powered workflows using OpenAI and Claude for content generation, lead qualification, email drafting, and document processing. ✅ Data Pipelines & Clean Outputs Structured, ready-to-use datasets delivered in your preferred format: CSV, Excel, JSON, Google Sheets, or direct loads into PostgreSQL / MongoDB. Flxpoint-compatible CSVs for e-commerce clients available. 🛠 Tech Stack Python · Playwright · Selenium · BeautifulSoup · Scrapy · n8n · OpenAI API · Claude API · Pandas · PostgreSQL · MongoDB · Google Sheets API · FastAPI · Docker · sklearn · EDA · numpy · XGBoost · Machine Learning · Data Science · Streamlit · SQL · PyTorch · Tensorflow · Web Scraping · matplotlib · seaborn · Data Extraction · Deep Learning · Data Processing · Predictive Model 📊 Data Analysis Capabilities Beyond delivering raw data, I can help you make sense of it. With ongoing training in data science (Pandas, Scikit-learn, EDA, visualization), I can clean, analyze, and surface insights from scraped data — turning CSVs into actionable reports when your project needs more than just extraction. 🎯 Why Clients Work With Me - Top Rated with 100% Job Success score - Fast response time - Clean, documented, maintainable code Ready to start? Send me a message describing your project, and I'll get back to you with a clear plan within now.

I have 8 years of experience in Python development and my skills are listed below: - Web scrapers, bots, automation, web automation, scripting, API scripts, ETL; - Data extraction, data cleaning, data processing, data transformation; - Backend development, web apps with Flask, Django; - Frontend coding with HTML, CSS, Js; - Covering UI with selenium tests.

Top 1pct Expert-Vetted Software Developer with 25 years of experience across various platforms: embedded, desktop, web and mobile. Specialising in C++, Python, C#, PHP, TypeScript and JavaScript. Databases MSSQL, MySQL, PostgreSQL. I'm experienced in code development, software architecture design and project management. I have worked on a wide range of desktop applications for Windows, OS X, and Linux. Participated in the massive commercial projects. Developed numerous web, desktop and mobile apps according to the clients' requirements.

I am an Applied AI & Machine Learning Consultant with a strong background in data analytics, predictive modeling, statistical analysis, and decision support systems. My experience spans finance, lending, capital markets, marine analytics, retail, and business intelligence, where I have developed data-driven solutions that improve forecasting accuracy, automate analytical workflows, and support strategic decision-making. My core expertise lies in transforming raw data into actionable insights through data preparation, feature engineering, statistical modeling, machine learning, and interactive analytics. I enjoy working on challenging analytical problems, particularly those involving predictive modeling, time-series forecasting, risk assessment, and large-scale structured datasets. My focus is always on building practical, production-ready solutions rather than purely theoretical models. I have hands-on experience developing regression, classification, ensemble learning, and forecasting models using Python and R. My work includes model selection, hyperparameter optimization, feature engineering, model validation, explainability, performance monitoring, and deployment-ready analytics pipelines. I am comfortable working with algorithms such as XGBoost, LightGBM, CatBoost, Random Forest, Gradient Boosting, Logistic Regression, Elastic Net, Support Vector Machines, Neural Networks, and time-series techniques including ARIMA and GARCH, while selecting the most appropriate approach based on business objectives and data characteristics. My experience also includes financial and quantitative analytics, where I have built predictive models and analytical dashboards for mortgage-backed securities, probability of default, options analytics, stock market analysis, foreign exchange research, and market intelligence. These projects strengthened my understanding of financial datasets, feature engineering for market data, risk modeling, and the importance of robust validation techniques for real-world decision making. Beyond predictive modeling, I develop interactive analytical applications and dashboards using Streamlit and R Shiny, enabling stakeholders to visualize complex datasets, monitor model outputs, and interact with analytics through intuitive web-based interfaces. My technical toolkit includes Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, SciPy, Statsmodels, Plotly, Streamlit, FastAPI), R (tidyverse, caret, glmnet, forecast, Shiny), SQL, Power BI, Tableau, Git, Jupyter Notebook, Google Colab, and cloud-based analytics environments. I also recently expanded my expertise into modern AI applications, prompt engineering, AI workflow automation, agentic AI, AI productivity systems, and practical enterprise adoption of Generative AI technologies. This complements my existing machine learning experience by helping organizations combine traditional predictive analytics with modern AI-powered workflows. I believe AI should be applied thoughtfully. I use classical statistical and machine learning methods when they provide the best predictive performance, and leverage Generative AI where it genuinely improves productivity, automation, knowledge extraction, or decision support. My approach emphasizes explainability, reproducibility, robust validation, and solutions that deliver measurable business value. Whether the objective is predictive analytics, statistical modeling, machine learning, AI-assisted automation, financial analytics, business intelligence, or interactive dashboards, I enjoy collaborating with clients to build scalable, reliable, and data-driven solutions that solve real business problems.

🔷️ Looking for a Fast learner, Problem Solver ? New project/use cases are most Welcome. Its all about Research and figuring things out. And I love to do that (R&D). Always a Problem Solver. 🔷️I am an Expert in writing Python Scripts, Machine Learning, Data Science, SQL, Snowflake, Streamlit, LLM's, Arduino projects, Automation tasks, Data extraction from PDFs. 🔸️ Ecommerce, Finance, EdTech, Medical, Sensors, Agriculture, Machines etc. Usecase Industries. 🔸️ Professional Data Science work on unstructured/structured datasets. 🔸️ Data Analysis on Sales/transaction data. 🔸️ Purchase Pattern prediction, Customer behaviour analysis, Product Recommendation Systems. 🔸️ Full-fledged Streamlit Dashboard/webapp for Interactive Data visualization, and analysis. 🔸️Fine tuning LLM's, RAG pipeline, Get your Chatbot/ GPT/ LLM trained on your custom dataset. 🔸️ Image Annotation, Evaluating AI responses/AI training ✔ Pandas, NumPy — data cleaning, missing value handling, outlier treatment, data analysis. ✔ Scikit-learn — ML pipelines, feature engineering, hyperparameter tuning, model optimization. ✔ NLP - Text preprocessing, tokenization, embeddings, tf-idf, Word2vev, SBERT, similarity models. ✔ ML Models — LR, SVM, KNN, Decision Tree, Random Forest, XGBoost, PCA, SMOTE etc. ✔ Visualization & Environment — Matplotlib, Seaborn, Jupyter Notebook, Google Colab. 🔸️Things I love to do : ✔ Writing Python Scripts ✔ Python scripts/code debugging ✔ Machine Learning / Data Science / Python projects ✔ Automation with Python ✔ Basic to Advanced Arduino Projects (PID Algorithm, sensors, motors, pneumatics and many more) 🔸️Also having experience of more than 2 years of Arduino Programming on lot of sensors, modules, motors, motor drivers like Cytron, L298N, LSA08, Ultrasonic, IR sensor, Actuators, Pneumatics, Line Follower, Wall Follower, and high-level autonomous and manual omni-wheel drive robots ⭐️ I always try to give more than expected, with better quality. ⭐️ Finishes a lot before the deadline. ⭐️ Always ready to sort out the issues, and to help in every possible way. ⭐️ Clients satisfaction is my priority. Never wants to disappoint my clients. ⭐️ Ready to help. 🙂 Ping me to discuss the project details. Thanks a lot. 🙂

I help asset managers, macro research firms, and trading desks build the data infrastructure and systematic processes that drive better investment decisions. Strategic Services: - Market data pipeline - ingestion, normalization, and storage for tick, bar, and fundamental data - Backtesting framework - evaluating data integrity, execution assumptions, and lookahead bias - Trading system design - connecting research signals to execution across futures and other asset classes - Technology stack evaluation - helping firms avoid overengineered solutions and vendor lock-in I analyze your specific workflow, recommend the right approach, and guide you away from unnecessarily complex infrastructure. I've helped clients avoid costly architectural mistakes while building systems that actually scale with their AUM and strategy count. Technical Depth: Python, Dagster, cloud platforms (AWS/GCP), databases (PostgreSQL, DuckDB), and deep integrations with financial data providers - Databento, Polygon, Financial Modelling Prep, Interactive Brokers (TWS API) - plus 20+ other APIs including OpenAI, Claude, Deepseek, Qwen. What I Don't Do: I'm not selling you an alpha signal or a black-box algo. I assess, design, and build the infrastructure and tooling around your strategies - so your team can research, backtest, and deploy with confidence. I combine engineering depth with markets experience - understanding both what's technically possible and what actually matters for your P&L.

built bots that fired 3 interns...true story — shipped a bot, 3 interns gone the next week. I build complete systems from concept to deployment — React/Next.js frontends, Python/Node.js backends, AI integrations, and data pipelines that handle millions of requests daily. 🚀 What I'm excellent at: Full-Stack Development - Modern frontends with React, Next.js, TypeScript, Tailwind CSS - Production backends with Python, Node.js/Express - AI/LLM integration (OpenAI GPT, Google Gemini, custom models) - Complete SaaS architecture from auth to payments (Stripe, OAuth 2.0) 🟡 I'm competent at (but not specialized): - DevOps beyond Docker/basic CI/CD - Native mobile development (web-first approach) - Large-scale Kubernetes cluster management ❌ Not my expertise: - UI/UX design or branding - SEO content writing or marketing campaigns - Native iOS/Android from scratch Last CTO asked if he was next. I said, “Only if you’re repetitive.”

Over 6 years of working experience in automating data pipelines. Worked with AWS,Postgres,Redshift Bigquery,MLops ,python and automation platforms. AWS data analytics and machine learning certified.