I'm a B.Tech Computer Science & Data Science student passionate about turning data into insights and building practical AI-powered applications.
I enjoy working across the journey from data analysis β machine learning β AI/GenAI, with a focus on building projects that solve real-world problems.
Python SQL MySQL Excel Pandas NumPy Power BI Matplotlib Seaborn
- Data Cleaning & Preprocessing
- Exploratory Data Analysis
- Data Visualization
- SQL Queries, Joins, CTEs & Window Functions
- Dashboard Development
- Basic Statistics
Scikit-learn XGBoost
- Regression
- Classification
- Clustering
- PCA
- Anomaly Detection
- Association Rule Mining
- Model Evaluation
- Feature Engineering
TensorFlow Keras NLP
- ANN
- CNN
- RNN / LSTM
- NLP
- Transformers
- LLM Applications
- Retrieval-Augmented Generation (RAG)
- AI Agents
FastAPI Streamlit LangChain ChromaDB Git GitHub
AI-powered application that processes meeting videos/audio, generates transcripts, summaries, decisions, questions and action items, and allows users to ask questions about the meeting.
Tech: Python β’ Whisper β’ Sarvam AI β’ Mistral AI β’ LangChain β’ ChromaDB β’ Streamlit
Data analytics project focused on extracting business insights from e-commerce sales data using SQL and interactive Power BI dashboards.
Tech: Python β’ SQL β’ PostgreSQL β’ Pandas β’ Power BI
A multi-agent AI system designed to automate research workflows using specialized agents for searching, reading, writing and reviewing information.
Tech: Python β’ LLMs β’ LangChain β’ Tavily β’ Web Scraping β’ Multi-Agent Architecture
Content-based movie recommendation system using TF-IDF and cosine similarity, exposed through an API.
Tech: Python β’ Pandas β’ Scikit-learn β’ TF-IDF β’ FastAPI β’ TMDB API
Question-answering system that retrieves relevant information from PDF documents and generates answers grounded in the retrieved context.
Tech: Python β’ LangChain β’ Mistral AI β’ ChromaDB β’ RAG β’ Streamlit
LSTM-based next-word prediction application trained on text data and deployed as an interactive application.
Tech: Python β’ TensorFlow β’ Keras β’ LSTM β’ NLP β’ Streamlit/Gradio
Python
β
NumPy & Pandas
β
SQL + Excel + Power BI
β
Data Analysis & Visualization
β
Machine Learning
β
Deep Learning & NLP
β
Transformers & LLMs
β
RAG & AI Agents
β
AI Application Development
I'm continuously improving my understanding of data, machine learning and modern AI systems by building projects and experimenting with new technologies.
- Advanced Machine Learning
- LLM Applications
- RAG Systems
- AI Agents
- LangChain / LangGraph
- FastAPI
- MLOps fundamentals
- Model Evaluation & Deployment
I particularly enjoy projects where AI can automate repetitive work, extract useful information from data, or help people make better-informed decisions.
I'm interested in opportunities involving:
Data Analytics β’ Machine Learning β’ Data Science β’ AI/GenAI