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DATA SCIENTIST — everything I build, you can verify the math. I deliver transparent, auditable data models where every number can be checked. Specializing in quantitative research, statistical modeling, Data insights and automation. QUANTITATIVE RESEARCH & PORTFOLIO CONSTRUCTION : I build and backtest equities, with live execution and kill switches on Alpaca where needed. Position sizing, risk allocation, rebalancing logic, all of it grounded in the math, not gut feel. Quick example of how I think: a momentum strategy covering 145 stocks was delivering 41% CAGR. Expanding to 245 stocks dropped it to 36%. Counterintuitive. The root cause: New stocks were selected on hot recent momentum, so by entry their cycle was already done. Built a 5-filter Monte Carlo system, tested 700+ parameter combinations, to identify which satellites are early-cycle vs peaked. Result: 43%+ CAGR with lower drawdown than the 145-only baseline. The problem wasn't the strategy. It was the timing of entry. Another example: I built a live MBS (Mortgage-Backed Securities) forecasting and trading system for a fund client, covering 265+ cohort securities across weekly, monthly, and quarterly return horizons. The interesting part wasn't the ML, it was the feature design. Standard technical indicators on bond prices are noise. What actually drives MBS price movements is duration, convexity, prepayment rates, regime variables like curve steepness, VIX, and Fed MBS holdings. Every feature built from first principles, nothing borrowed from a vendor that can't be verified. This is where I spend most of my time. Systematic backtests, portfolio construction, Monte Carlo optimization. No black boxes, no ML hype every output can be checked in a spreadsheet. Not "add more data." Find the actual structure driving returns, and build features that reflect it. DATA SCIENCE & ANALYTICS I've worked across real estate, e-commerce, and financial analytics, usually called in when a team has data but no clear answer yet. I focus on getting to a decision you can act on, not a 40-slide deck. Results worth mentioning: ML automation cut a client's data processing from 286 days to 1 day, after they'd run the same manual process for two years without realizing it was automatable Ad spend attribution model that improved campaign ROI by 25% WHAT MAKES ME DIFFERENT ▸ I show my work. Every model, every analysis, every number comes with the method behind it, so you're never trusting a black box ▸ I'd rather tell you a strategy doesn't hold up than build you something that looks good and fails in real world. ▸ I scope real problems fast: send me what you're working with and I'll tell you within 24 hours if and how I can help

Data Scientist & AI/ML Engineer with 5+ years in building systems that think, predict, and automate; not just API calls. I take raw, messy and unstructured data and turn it into production-ready pipelines, predictive models, and executive dashboards that drive decisions. I design and ship end-to-end data and ML systems: reducing time-to-insight from weeks to hours, automating workflows that used to take entire teams, and building models that directly feed revenue. If your business runs on data, I make it generate revenue, not just reports. 🔧 Core Expertise 1. Data Analytics & BI : Exploratory analysis, KPI frameworks, executive dashboards, A/B testing, cohort analysis (Excel, Power BI, Tableau, Plotly, Looker) 2. Data Science & ML : Predictive modeling, forecasting, statistical analysis, feature engineering, model validation and deployment (Scikit-Learn, PyTorch, TensorFlow, MLflow, AWS SageMaker) 3. Data Engineering : End-to-End pipelines, ETL/ELT automation, data warehousing, real-time and batch processing (Snowflake, Databricks, dbt, Apache Spark, Airflow) 4. Generative AI : RAG pipelines, LLM fine-tuning, agentic workflows, semantic search, prompt engineering, vector databases (LangChain, LlamaIndex, Pinecone, FAISS, OpenAI, HuggingFace) 5. Automation : Workflow orchestration, API integrations, intelligent agents, process automation, web scraping (n8n, Airflow, Lambda, Selenium, BeautifulSoup) 6. Cloud & Infrastructure model deployment, scalable data systems, serverless pipelines, storage and compute (AWS- SageMaker, EC2, S3, Lambda, RDS) 💡Why Clients Work With Me Most data projects fail not because of bad data, but because the person handling it understands models but not business. I bridge both. 5+ years solving real business problems with AI and data means I understand the business problem before I touch the data, and I build solutions that solve it end to end. I communicate at every step, flag issues before they become problems, and make sure what I build fits your workflow, your team, and your timeline. What you get is senior expertise, fast turnaround, and work that is built to last beyond the contract. Let's Talk If you have data that is not working hard enough for your business, that is exactly the problem I solve. Send me a message describing your project, and I will respond within an hour.

I help startups and enterprises build production-ready AI products, intelligent automation systems, LLM applications, and data-driven SaaS platforms. Strong expertise in Artificial Intelligence, Machine Learning, Data Science, Generative AI, Computer Vision, NLP, and Full Stack Development. I build complete AI solutions—from data engineering and model training to scalable APIs, modern web applications, and cloud deployment. 🚀 Core Expertise AI, Machine Learning & Data Science -------------------------------------------- Machine Learning, Deep Learning, Generative AI PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM NLP, Computer Vision, OCR YOLO, OpenCV Time Series Forecasting Predictive Analytics Recommendation Systems Classification, Regression, Clustering Feature Engineering Model Optimization & Fine-tuning Statistical Analysis A/B Testing Data Mining Explainable AI (XAI) LLMs & Agentic AI ---------------------- OpenAI (GPT-4o/o3/o4) Claude Gemini Llama Mistral DeepSeek Grok LangChain LangGraph LlamaIndex CrewAI AutoGen AI Agents Multi-Agent Systems Agentic Workflows MCP (Model Context Protocol) RAG Pipelines Prompt Engineering Function Calling Structured Outputs Semantic Search Embeddings Fine-tuning Data Engineering --------------------- ETL / ELT Pipelines Apache Airflow Apache Kafka Data Warehousing Data Lakes Batch & Real-time Processing Data Cleaning Feature Stores Web Scraping Selenium Scrapy Pandas NumPy PySpark Vector Databases ---------------------- Pinecone Weaviate Milvus ChromaDB FAISS Qdrant Full Stack Development ---------------------------- Python FastAPI Django Flask Node.js Express.js NestJS React Next.js TypeScript JavaScript Tailwind CSS REST APIs GraphQL Microservices WebSockets Databases ------------- PostgreSQL MySQL MongoDB Redis Elasticsearch DynamoDB Firebase Cloud & DevOps ------------------- AWS Azure Google Cloud Platform (GCP) Docker Kubernetes Terraform GitHub Actions CI/CD Linux Nginx I Build ✔ AI SaaS Platforms ✔ AI Agents & Multi-Agent Systems ✔ LLM Applications ✔ RAG Knowledge Assistants ✔ AI Chatbots & Copilots ✔ Machine Learning Models ✔ Computer Vision Solutions ✔ Predictive Analytics Platforms ✔ Recommendation Engines ✔ Fraud Detection Systems ✔ Forecasting Models ✔ Document Intelligence & OCR ✔ Data Pipelines & ETL Systems ✔ Enterprise Dashboards ✔ Cloud-native Applications Why Hire Me End-to-end ownership from idea to production Strong AI, ML, Data Science, and Software Engineering expertise Scalable architecture designed for real-world production Clean, maintainable, and high-performance code Fast communication and long-term technical partnership Keywords AI Engineer • Machine Learning Engineer • Data Scientist • Generative AI • Full Stack AI Developer • LLM Engineer • Python Developer • FastAPI • Django • React • Next.js • OpenAI • Claude • Gemini • LangChain • LangGraph • AI Agents • RAG • NLP • Computer Vision • YOLO • PyTorch • TensorFlow • Scikit-learn • XGBoost • Data Engineering • ETL • Airflow • Kafka • Vector Database • Pinecone • PostgreSQL • Docker • Kubernetes • AWS • Azure • GCP • SaaS Development If you're looking for an engineer who can design, build, deploy, and scale AI-powered products that solve real business problems, I'd be happy to discuss your project.

🏆 Top Rated Plus | 100% Job Success | 269 Projects | 7,300+ Hours | 15+ Years in Business Intelligence 🥇 6x Tableau Certified (Desktop Specialist, Analyst, Author, Consumer, Designer, Data Scientist) + Microsoft Certified: Power BI 💎 80%+ of clients return for follow-on projects I'm a Power BI, Tableau & Business Intelligence Consultant who turns messy spreadsheets, Excel reports, and disconnected systems (Shopify, QuickBooks, Salesforce, SQL, ERP) into automated dashboards executives actually use — with zero manual updates. ✅ Cut a client's weekly reporting time by 70% after rebuilding their Excel workflow in Power BI ✅ Automated refresh pipelines that eliminated manual data exports entirely ✅ 80%+ of my clients return for follow-on projects ✅ Fast turnaround, clear communication, available now 🔷 WHAT I BUILD: → Fully automated BI systems — Power Query/DAX, scheduled refresh, no manual exports → Executive & KPI dashboards, embedded analytics for SaaS products → Data modeling, RLS, performance tuning, Microsoft Fabric/Azure/Snowflake pipelines → Tableau dashboards, Tableau Prep, Tableau Server/Cloud administration → Excel-to-Power BI migrations and Looker Studio / Google Data Studio reporting 🤖 I use ChatGPT, Copilot & Claude to speed up DAX authoring, QA and documentation — faster delivery without cutting corners. 🔷 CORE STACK: Power BI · Tableau · DAX · SQL · Excel · Power Query · Python · Microsoft Fabric · Azure · Snowflake · Databricks · Looker Studio 🔷 INDUSTRIES: Finance · Healthcare · SaaS · Retail/E-commerce · Marketing · Operations · Logistics 📩 Message me with your data challenge — I'll reply within hours with a clear plan and timeline.

Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

I have 7+ years of experience in Machine Learning, Natural Language processing, Generative AI, Data Science, Deep Learning and Software Development, Completed my Phd in NLP(Deep Learning). Previously worked with ABB Electric and Netapp. Alumni of PSG Tech, Coimbatore and College of Engineering, Guindy. Being an ardent NLP Researcher, I am fluent in working with advanced NLP techniques such as LLMs, BERT embeddings, its variations and T5 based models for solving NLP related challenges. Published research work related to Deep learning / NLP in Elsevier Journal and international conferences. Also have a publication in Taylor & Francis wherein I have researched on Bio-inspired optimization for Machine Learning models. Open to consulting/freelancing in Natural Language Processing / Machine Learning/Data Science / Software development. Programming skills : Python, C#, Matlab, VBA Major libraries used : Sci-kit learn, Tensorflow, Keras, Pandas,Numpy, Matplotlib, Gensim, HuggingFace, Pytorch, NLTK NLP algorithms used : fine-tuning LLMs with custom data(Falcon 7-B,Falcon 40-B,Llama-2), Chatbot Development (Falcon 40-B), GPT-4, Bert, Domain Adaptive BERT, T5, Word2Vec, GLOVE, FASTTEXT, ELMO, Siamese LSTM, NMF, LDA, LSI, Key-BERT ML algorithms used : SVM, k-Means, Naive Bayes, Decision Tree, Random Forest, Extreme Learning Machine, Ensemble classifiers, Linear regression, Logistic regression, Databases : MySQL Data Visualization : PowerBI