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Hi, I'm
Turning raw data into decisions that actually move things —
from analysis and visualization to machine learning and production ready systems.
I'm a recent MS Computer Science graduate from the University of Illinois at Chicago, with a focus on data science, machine learning, and visual analytics. I build things that help people understand what their data is actually saying — not just what it looks like.
My background spans data analysis, machine learning, and data engineering. I've worked on everything from campus-wide operational audits that informed $47-50M decisions, to deploying production recommendation systems with real-time monitoring. I'm most interested in roles where the analytical output changes how something actually works.
Outside of data, I follow Geopolitics, cars and bikes — which probably explains why my projects keep ending up involving election maps and marathon routes.
Master of Computer Science · Chicago, IL
Relevant coursework: Data Science, Visual Data Science, Visualization & Visual Analytics, Responsible AI, Machine Learning, Data Analytics, Computer Networks.
Bachelor of Technology in Computer Science and Engineering · Bangalore, India
Data & Operations Analyst · Chicago, IL
Web Developer Graduate Hourly · Chicago, IL
Python Backend Developer Intern · Bangalore, India
Interactive dashboard synchronizing GPS, accelerometer, gyroscope, and barometer sensor data with video playback for real-world gait pattern analysis.
Analysis of AP Elections 2019 & 2024 and US Presidential 2020 across 175 constituencies and 3,100+ counties. 20+ choropleth maps, donut charts, and scatter plots.
Processed and visualized 680,000+ tree records. Applied PCA and UMAP for dimensionality reduction. Built interactive linked dashboard with brushing interactions.
Predicted marathon finish times with R² of 0.99 using Random Forest and XGBoost on 79,000+ records integrated with real-time weather data.
Real-time recommendation engine using SVD++ and KNN. RMSE of 0.58. Deployed as REST API via FastAPI with Docker, Jenkins CI/CD, and Prometheus/Grafana monitoring.
Full-stack hotel booking system with normalized PostgreSQL schema, role-based dashboards, booking validation logic, and analytics reporting.
Bidirectional converter transforming Jupyter notebooks into structured visual workflow graphs and back. Heuristic-based node classification for workflow stages.
Secure chat application implementing Telegram MTProto 2.0 with AES-256-IGE encryption and Diffie-Hellman key exchange for Cloud and Secret Chat modes.
Classification model with SHAP explainability to predict high-risk customers and identify key churn drivers for targeted retention strategies.
End-to-end business analytics project on 100,000+ e-commerce orders. Revenue trends, customer segmentation, KPI tracking, and live Streamlit dashboard.
Walmart USA (forage) · June 2024
View CredentialOpen to Data Analyst, Data Scientist, and Data Engineer roles in United States. Feel free to reach out for opportunities, collaborations, or just to talk data.