I am a
Building scalable, data-driven solutions with a strong foundation in statistical analysis, predictive modeling, and visualization.
Work Experience
My professional journey so far.
SRM UNIVERSITY
Aug 2024 - May 2025
Chennai, India
Data Analyst Intern
- Developed interactive placement dashboards using Python and Power BI, analyzing data from 10,000+ students for the university website.
ORDBIT
Jan 2023 - Aug 2024
Bangalore, India
Machine Learning Intern
- Developed and deployed predictive models, boosting user retention by 15%.
- Engineered an ML model improving market outreach effectiveness by 10%.
- Built a Tableau dashboard for core KPIs, saving 10 hours of manual reporting weekly.
Featured Projects
Ideas brought to life with code.
Human Scream Detection
Building a real-time scream detection system using Deep Learning to analyze audio and automatically alert authorities.
Diabetic Retinopathy Detection
Engineered a ResNet-based deep learning model for diabetic retinopathy detection with 92% accuracy.
Credit Card Fraud Detection
Developed a model to detect fraudulent transactions by analyzing historical data, helping flag suspicious activity early.
Heart Failure Prediction
Built a model analyzing 8000+ patient records to enable early-stage risk detection with 89% accuracy.
Customer Cohort Analysis
Architected a data pipeline for 500k+ customers, achieving 89% accuracy in uncovering behavior patterns.
Stock Market Analysis
Leveraged Pandas, Yfinance, and Plotly to build a dynamic tool for analyzing and visualizing real-time stock market data.
Netflix Data Analysis
Developed a model using NumPy and Pandas to extract and visualize key insights from the Netflix dataset, uncovering content trends.
Google Search Analysis
Utilized Python and PyTrends to analyze Google search patterns, providing actionable insights for market research and trend forecasting.
Project Ideator
Let's brainstorm together.
Click the button below to generate creative project ideas based on my skills. A great way to see how I can combine my expertise for your next big idea!
Generating ideas...
Skills & Tools
My technical toolbox.
Publication
Contributing to the community.
Diabetic Retinopathy Detection
International Journal of Computer Science and Engineering
Proposed a ResNet-based approach achieving 94.3% accuracy, significantly enhancing early diagnosis and clinical decision-making.
Read Paper →