Skills & Technologies
27 skillsWork Experience
Software / ML Intern
MetaWurks
- Currently contributing to ongoing projects and initiatives at MetaWurks.
Intern
cHeal
- Completed a 3-month internship, gaining hands-on industry experience in a professional environment.
Projects
DAMA – Data-Driven Algorithmic Market Analysis
- Architected a fully modular end-to-end pipeline for algorithmic analysis of NSE-listed stocks — from raw OHLCV ingestion to validated trade signal generation.
- Built the DAMA-Core eligibility engine using EMA (10/20/50), Darvas Box, and ATR to suppress noise and isolate only high-probability market setups.
- Integrated a tuned XGBoost classifier producing Buy / Sell / Hold signals with cross-validated backtesting on multi-year historical price data.
- Performed sector-wise stock classification and systematic feature engineering across large multi-year OHLCV datasets.
District-Level Disease Outbreak Prediction System
- Built an AI early-warning system spanning 700+ Indian districts, processing 15+ years (2009–2025) of IDSP government outbreak data.
- Automated extraction from unstructured government PDFs using pdfplumber, creating clean ML-ready structured datasets from scratch.
- Enriched feature sets with environmental signals — weather data, population density, and seasonal patterns — to boost predictive accuracy.
- Trained XGBoost and Random Forest ensembles to generate probabilistic district-level risk scores for early epidemic detection.
Expense Manager – Full Stack Application
- Led the AI/ML analytics module of a group full-stack project for personal and group financial tracking across multiple users.
- Designed normalised expense datasets and built interactive dashboards visualising spending behaviour and category-level trends.
- Applied time-series ML forecasting to predict future expenses, improving budget planning accuracy by approximately 18%.
- Structured the data pipeline for scalability, enabling seamless addition of new expense categories and user groups.
Interactive Chess Tournament Management System
- Built a full-featured desktop application managing tournaments end-to-end — player registration, automated pairings, round management, and real-time standings.
- Implemented Swiss System and Round Robin (Berger table) pairing algorithms with duplicate-opponent prevention and bye handling.
- Designed a modular signal–slot architecture (Qt QML frontend + Python backend + SQLite) for clean separation of concerns and event-driven UI updates.
- Packaged as a standalone Windows executable via PyInstaller; included CSV import/export, undo support, and timestamped database backup and restore.
Clothing Size Predictor
- Built an SVM classifier to predict clothing size (XS, S, M, L) from body measurements — height, weight, chest, waist, and hip circumference.
- Applied feature normalisation (StandardScaler), handled class imbalance, and performed systematic hyperparameter tuning using GridSearchCV.
- Evaluated performance using confusion matrix, per-class precision, recall, and F1-score; identified misclassification patterns to guide further feature selection.
- Benchmarked against KNN and Decision Tree classifiers, demonstrating SVM’s superior generalisation on the given measurement dataset.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
C.N. Rao Merit Scholarship
C.N. Rao Merit Scholarship – PES University: Awarded Sem 1 & Sem 3 for ranking among top academic performers
Hindustan Scout & Guide – State Award
Hindustan Scout & Guide – State Award: State-level recognition for leadership and community service
About Details
Professional Bio
MCA student at PES University with expertise in Machine Learning, Data Engineering, and Algorithmic Systems. Proven ability to transform raw, unstructured datasets into production-grade ML pipelines and actionable intelligence. C.N. Rao Merit Scholar with a strong portfolio of AI projects.
MCA in Computer Applications
PES University, Bengaluru (2024 - 2026)
BCA in Computer Applications
NIMS University, Jaipur (2021 - 2024)