About
Computer Science (AI & ML) graduate with hands-on experience in Python, SQL, data analysis, and backend application development through academic and project-based work. Eager to build scalable data pipelines and grow as a Data Engineer.
Projects5
Fleet Telemetry Data Pipeline
Developed a data processing pipeline to analyze fleet telemetry and incident data using Python and Pandas. Built REST APIs using FastAPI and developed interactive dashboards for battery usage, vehicle speed, and event visualization.
- Python
- Pandas
- FastAPI
- PostgreSQL
- Plotly
ETL Pipeline for Sales Data
Built an ETL pipeline to extract sales data from CSV files, transform and validate records using Pandas, and load cleaned data into PostgreSQL. Implemented SQL queries for reporting and automated data quality validation.
- Python
- Pandas
- PostgreSQL
- SQLAlchemy
Predictive Sales Forecasting System
Developed a retail sales forecasting pipeline using Python, Pandas, Prophet, and XGBoost. Performed data preprocessing, feature engineering, and time-series analysis to generate business insights through interactive dashboards.
- Python
- Pandas
- Prophet
- XGBoost
- SQL
- Tableau
Math Routing Agent with Human-in-the-Loop
Developed an intelligent math problem-solving assistant using Retrieval-Augmented Generation (RAG) architecture with Qdrant vector database for contextual retrieval. Implemented semantic search using embeddings, improving reasoning accuracy by 30%.
- Python
- FastAPI
- Vector DB
- React.js
RAG-Based Document QA System
Developed a RAG-powered document question-answering pipeline integrating LangChain, ChromaDB, and Granite 3.2-8B LLM with WatsonX Slate embeddings. Deployed an interactive Gradio interface for real-time document querying.
- Python
- LangChain
- IBM WatsonX
- Gradio
- ChromaDB
Education1
B.Tech
2022 — 2025Avanthi Institute of Engineering and Technology
Computer Science
Certifications3
Introduction to Artificial Intelligence
IBM
Generative AI Applications with RAG and LangChain Project
IBM
NPTEL Online Certification – Python