
M.Tech Computer Science and Engineering candidate with a B.Tech specialization in Artificial Intelligence and Machine Learning, experienced in Python-based machine learning, SQL analytics, and data visualization. Built an explainable credit-risk prediction application, analyzed 100K+ product event logs, and developed business intelligence dashboards. Interested in applying AI engineering, analytical problem-solving, and model evaluation to generative AI and enterprise decision science solutions.
Programming and Data Analysis: Python, SQL, Pandas, NumPy, Microsoft Excel
Machine Learning: Scikit-learn, Machine Learning Algorithms, Feature Engineering, Class Imbalance Handling, Model Interpretability
Generative AI Fundamentals: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Fundamentals, Natural Language Processing
Data Engineering and Analytics: Data Cleaning, Extract-Transform-Load (ETL), Event-Log Modeling, Cohort Analysis, Key Performance Indicators (KPIs)
Visualization and Business Intelligence: Microsoft Power BI, Tableau, DAX, Power Query
Application Development: Flask, Model Deployment Fundamentals
Explainable AI Credit Default Predictor
AI SaaS Product Analytics and Retention Analysis
Airbnb Market Analytics Dashboard