About
Data Scientist with hands-on experience across the ML lifecycle — data extraction, exploratory analysis, feature engineering, model building and deployment — and applied Generative AI / LLM development using Python, SQL, LangChain, Retrieval-Augmented Generation (RAG), vector databases (FAISS) and prompt engineering.
Experience1
Data Science
2025 — 2026AiVariant
Built customer segmentation pipelines using K-Means clustering to identify similar customer groups for personalized business recommendations. Developed reusable preprocessing and feature engineering pipelines using Python, Pandas and Scikit-learn. Performed exploratory data analysis, clustering evaluation and visualization to surface actionable business insights. Built and maintained dashboards for business insights, performance tracking and stakeholder reporting.
- Built customer segmentation pipelines using K-Means clustering.
- Developed reusable preprocessing and feature engineering pipelines.
- Performed exploratory data analysis and visualization to surface actionable insights.
- Built and maintained dashboards for business insights and performance tracking.
Projects2
AI-Powered Travel Recommendation Assistant
Developed an intelligent travel recommendation assistant using a multi-agent architecture combining Retrieval-Augmented Generation (RAG) and LLMs.
- Python
- LangChain
- RAG
- FAISS (Vector Database)
- Streamlit
- Gemini LLM
- Open-Meteo API
Customer Segmentation using Machine Learning
Built and compared K-Means, Hierarchical and DBSCAN models on customer behavior data using PCA; K-Means achieved the best segmentation.
- Python
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- Streamlit
- Power BI
Education1
B.Tech
2021 — 2025Acropolis Institute of Technology & Research, Indore (RGPV)
Computer Science
Certifications5
Data Science
ExcelR
Generative AI Workshop
AICTE (LLMs & Prompt Engineering)
Data Visualization
Online
Python Basics
Online
Spoken Tutorial: C++, HTML
IIT Bombay