I am a senior data scientist working for a US-based Fintech company. I solve business problems using applied machine learning, data science, generative AI, analytics. I have master's degree from University of North Carolina, Raleigh, United States of America and global exposure at American Express, NY. I have over 7 years in data science where I worked on varied use-cases ranging from demand-forecasting, churn prediction, credit risk modelling, propensity modelling, fraud detection, strategic recommendation, Image classification, document summarizer, document extraction and so on. I carry domain knowledge in fintech, insurance, manufacturing, consulting, data centre, energy and healthcare. The value I bring to your learning journey: I believe in explaining concepts in simple terms, rooted in fundamentals and connected to end applications. If you’re struggling to see concepts end to end, bring it on — breaking down jargon into pragmatic application is my speciality. My approach is practical, secular, and structured — no shortcuts, only impactful diagnostics. Whether you’re targeting Fractal Analytics, Triger Analytics, Quantify, EPAM, Optum, Altimetric, LSEG, or other AI first companies (from top to mid-range service-based firms), I’ll help you turn current learning into resume ready projects and stand out in interviews. I specialize in: 🚀 GenAI/Agentic AI interview prep – RAG, LangChain, LangGraph, LangSmith, MCP, CrewAI, AutoGen, DeepAgent, LangFuse 🧩 DSA mastery – strings, matrices, sliding window, heaps, prefix sums, two pointer problems 🎯 Interview strategy – how to explain solutions with impact and handle follow ups 🛠️ Hands on guidance – bridging theory with production grade coding workflows