Hey there! I’m that person who gets a weird thrill from making sense of chaotic data. Think of me as someone who can turn a jumbled spreadsheet into a story that doesn’t bore you to death.
I play around with things like predictive models and data visualizations, trying to spot trends or insights that others might miss. I’ve messed with machine learning, NLP, and some cloud stuff, always aiming to make the numbers work for actual humans, not just impress tech bros.
When I’m not untangling datasets or sweet-talking a buggy script, you might catch me sipping way-too-expensive coffee, getting lost in a good playlist, or failing spectacularly at board games with friends. Life’s too short to take it all too seriously, right?
Curious about my projects? Take a peek. And if you want to chat data, coffee, or just life, I’m game—let’s connect!
Expense Manager -- Wallet Module
Revamped a robust text-processing system to classify and extract transaction details from raw SMS data using regex and NLP-based preprocessing.
Streamlined logic to accurately detect wallet transactions (e.g., Paytm, PhonePe, Freecharge, MobiKwik) and filter out irrelevant messages.
Optimized for high accuracy and scalability as part of a real-world data engineering pipeline.
A robust Applicant Tracking System to streamline recruitment processes, enabling efficient candidate management, resume parsing, and interview scheduling.
AI-powered disaster monitoring system combining deep learning, NLP, and geotagging to detect and prioritize water disasters in real-time, with a 94.93% detection accuracy and interactive dashboard.
Reverse logistics system for mobile refurbishment, combining ML models and dynamic pricing via Keepa API to optimize resale value with 95.02% classification accuracy.
For more, visit my GitHub
Research focuses on developing an automated system for grading IELTS essays using Bidirectional Long Short-Term Memory networks.
Read Publication →
Reviews various approaches to movie recommendation systems using big data technologies and algorithms.
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This research explores the application of various machine learning techniques to improve the accuracy of air quality forecasting models.
To be Published
A comprehensive guide for students learning business statistics with practical applications using R programming language.
Online version coming soon!
Integrated Masters in Computer Science and Engineering
Specialization in Business Analytics
Sep 2020-Sep 2025
University Rank 5 - Software Edition
Cybrary
Senior Diploma
Junior Diploma
Junior Diploma
