CSE Student · Data Science Enthusiast
Computer Science student passionate about Data Science, Machine Learning, and building data-driven solutions that turn raw data into meaningful insights.
Who I Am
I am a third-year B.Tech Computer Science student at Lovely Professional University with a strong interest in Data Science and Machine Learning.
I enjoy analyzing data, building predictive models, and developing solutions that solve real-world problems. I am continuously improving my technical skills through projects, certifications, and hands-on learning.
My goal is to become a skilled Data Scientist focused on machine learning, data analytics, and intelligent systems that make a tangible impact.
Toolkit
Work
End-to-end attrition prediction system using Python and ML to analyze workforce patterns and identify factors influencing employee turnover.
Analyzed nationwide COVID-19 mortality data from Data.gov to identify trends across demographics and states through data visualization.
Exploratory analysis on Spotify listening history to uncover patterns in music consumption using Excel-based data tools.
Training
Academic
Recognition
Open Source
A collection of my data science, machine learning, and analytics projects focused on solving real-world problems.
Segmented customers based on purchasing behavior using RFM (Recency, Frequency, Monetary) analysis combined with KMeans clustering to identify distinct customer groups for targeted marketing strategies.
Predicts employee attrition using Logistic Regression & Decision Tree models with HR analytics insights.
Analyzed U.S. COVID-19 mortality data from Data.gov across demographics and states with rich visualizations.
EDA on Spotify listening history to uncover music consumption patterns using pivot tables and charts.
Flask web app that analyzes investment portfolios and generates smart buy/sell recommendations.
Web initiative promoting eco-system protection through awareness, education, and sustainable action.
Get In Touch