About Me
Computer Science and Engineering graduate specializing in Data Science with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI. Skilled in building LLM-powered applications, agentic workf…
Computer Science and Engineering graduate specializing in Data Science with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI. Skilled in building LLM-powered applications, agentic workflows, and real-time AI systems using Python, FastAPI, LangChain, and RAG-based architectures. Passionate about developing scalable backend solutions and intelligent automation systems.
Experience
AI & Data Analyst
Built a Random Forest regression model achieving R2 = 0.881 for EV price prediction Performed preprocessing, feature engineering, and model evaluation using Python Deployed a Streamlit web app for real-time prediction and visualization Integrated LLM-based explanation module using prompt engineering for interpretability
AI & ML Intern
Developed salary prediction model using Gradient Boosting with R2 = 0.974 Performed data cleaning, transformation, and feature selection Deployed model using Streamlit for real-time predictions
Data Analyst
Performed system and data analysis on operational datasets to identify trends and inefficiencies Supported dashboard evaluation and reporting using visualization tools to enable data-driven decision-making