Kunal PATIL

I am a data-driven professional with 2.6 years of hands-on experience in data analytics, machine learning, and Generative AI. My career began with a strong foundation in Python and SQL, and I’ve since built scalable solutions across banking, fintech, and internal AI product development.

At K2 Analytics, I worked as a Data Analyst Consultant for a multinational bank where I developed end-to-end data pipelines and reporting frameworks that led to tangible business impact—most notably, a ₹6 Cr cost savings in the credit card portfolio through data insights and optimization strategies. I also automated KYC processes (reducing turnaround time by 50%) and built customer segmentation models for a base of over 9 million users.

In parallel, I led AI/ML-driven internal projects including:

• A YOLOv11s-based candlestick chart pattern detection system, built with Python, OpenCV, and Streamlit, to validate and filter image data for model training.

• A RAG-based educational chatbot, built using LangChain, FAISSDB, HuggingFace embeddings, and Groq API, with advanced features like semantic search, secure session handling, and modular code design.

My interests lie in building intelligent, production-ready systems using LLMs, RAG, computer vision, and automation tools that solve real-world problems. I’m passionate about staying up-to-date with the latest in GenAI, MLOps, and applied ML, and I enjoy collaborating across product and engineering teams to align solutions with business goals.

I also contribute to open-source projects, document my work on GitHub, and continue to grow my portfolio of real-world AI applications.

For more details, explore my projects on GitHub and Portfolio