ABOUT
About Me
Data Scientist passionate about machine learning, statistical modeling, and extracting actionable insights from complex datasets. Currently pursuing graduate studies at Columbia University with a focus on applied ML and data-driven decision making. I'm curently exploring the intersection of Agentic AI and finance and I aim to develop intelligent agents capable of navigating market dynamics with machine-level precision and human-like reasoning.
Education
🎓 MS Data Science @ Columbia University
Reading
📚 The Mamba Mentality: How I Play
Location
📍 New York, NY
EDUCATION
Vellore Institute of Technology
Bachelor of Technology
Electronics & Communication Engineering
Columbia University
Master of Science
Data Science
WORK
Data Engineering Project Intern
Acceedo
Built distributed ETL pipelines for real-time IoT systems, optimizing data ingestion and stream processing.
Machine Learning Engineer Intern
Quadrasystems.net
Developed ML models for vulnerability scoring using NLP and deep learning techniques.
Project Intern
Steps Knowledge Services
Worked on embedded systems and IoT projects integrating various hardware and cloud technologies.
Academic Intern
National University of Singapore
Gained hands-on experience in data analytics, text mining, and deep learning methods.
POSITIONS
Executive Member
VIT Student Council
Selected as 1 of 40 students out of 40,000 to serve on the Student Council for high-impact campus initiatives.
Core Committee Member
ACM-VIT
Led recruitment and event operations for the Research Domain of ACM's university chapter.
Core Committee Member
The Electronics Club
Supported student engagement and major event operations for the university's electronics community.
SKILLS
Languages
Frameworks & Tools
Methodologies
RESEARCH
Real-time Foundry Environment Monitoring System
Integrated low-latency industrial IoT framework for real-time environmental sensing and power analytics in foundry environments. Features STM32-based microcontroller with interrupt-driven timing, WebSocket pipeline to MongoDB backend, and JWT authentication. Includes responsive dashboard with automated anomaly detection.
Federated Learning for Predictive Maintenance: Model Comparisons and Privacy Advantages
Presents a federated learning architecture for predictive maintenance, enabling multiple clients to train ML models while keeping data decentralized. Implements SMOTE for class imbalance, PCA for dimensionality reduction, and PSO for hyperparameter tuning.
PROJECTS
Morpheus
Adversarial Strategy Simulation Engine.
Better Call Scount
A multi-agent system using Google ADK that analyzes trending GitHub repos and tech news to hypothesize which tech stacks or industries are about to boom.
OrderFlow
An AI-powered order management platform. Employees can submit orders via voice or text, and the system uses Anthropic Claude to extract structured order data, detect anomalies, and generate customer quotes.
Fuel Form
Adaptive fitness and nutrition planning system that automates workout and dietary decisions using AI and machine learning. The goal of the application is to reduce the cognitive burden of planning workouts and meals by continuously adapting recommendations based on user behavior, recovery, and progress.
FX Trading
Comprehensive FX trading system that combines traditional time-series techniques with modern machine learning methods for EUR/USD trading. The project includes both rule-based strategies (exponential smoothing with macroeconomic filters) and advanced ML approaches (ensemble models, LSTM, and regime-aware models).
Bends Before The Break
Analysis of U.S. Treasury yield curves, inflation, unemployment, and their relationships with economic recessions. Uses data from FRED (Federal Reserve Economic Data) spanning 1954 to present.
Kumori
IoT Weather Monitoring System that collects environmental data using ESP32 sensors. Features data cleaning pipelines and predictive modeling for weather insights.
P-Wagon
Real-time vehicle detection system for law enforcement. Uses Raspberry Pi 4 to process surveillance footage with ML algorithms for license plate recognition and OCR.
StudyEasy
AI-powered study companion that generates flashcards, quizzes, and summaries from lecture notes and textbooks to enhance learning efficiency.
Amplify
IoT-based energy monitoring system integrating Current Transformers with LoRa communication and ThingSpeak for real-time power consumption analytics.
Tohsaka Rin
Feature-rich Discord bot built with discord.py offering server management, entertainment commands, and utility functions for enhanced community engagement.