Data Scientist | Generative AI | Python | Scalable AI Solutions | Helping Businesses Make Data-Driven Decisions | Software Engineering
Data Scientist with 3+ years shipping production ML and GenAI across pharma, banking, and automotive. Built a CAPA copilot cutting review time 90% with 96% accuracy, agentic cash reconciliation saving $6.3M per year, and loan-pricing optimisation adding $27M ARR. Earlier projects include reducing engine layout iterations to under 40 minutes and voice-analytics that trimmed call volumes 30%. I enjoy turning complex data problems into intuitive, revenue-boosting products.
Technologies and areas I focus on.
Python, SQL, PySpark.
Scikit-learn, TensorFlow, PyTorch, XGBoost, SHAP.
LangChain, OpenAI Agentic SDK, A2A protocol, LlamaIndex.
Communicating insights clearly.
Containerizing and orchestrating apps.
Working with relational databases.
Exploring generative AI breakthroughs, contributing to open-source, and designing data-driven products.
Selected works demonstrating my capabilities.
LangChain-powered assistant that accelerates CAPA analysis and integrates human feedback loops.
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End-to-end solution leveraging machine learning and real-time data streams to optimize loan pricing.
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Analyzed 22k+ customer calls with NLP to surface key drivers, agent behavior, and sentiment.
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Human-in-the-loop solution reducing deviation closure times by 40% for India's top pharmaceutical company.
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Python-based tool that cut engine design iteration cycles from months to under an hour.
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Fine-tuned LLM automating up to 50% of legacy code generation for a major software client.
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Elasticsearch-backed cognitive search achieving millisecond response times for large document bases.
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