Competitive Achievements
Hackathon Highlights
Participated in 15+ hackathons — fortunate to have secured a few wins, and even more grateful for the experience.
First Place - Data Analytics Challenge
IIITDM Kancheepuram, 2024
- Conducted advanced traffic analysis on 1M+ ADAS and CAS data points, using spatio-temporal techniques to identify accident hotspots.
- Created insightful dashboards and a detailed report incorporating real-time traffic data, enabling data-driven insights for urban mobility and road safety.






First Place - Machine Learning Mania
Anna University, 2024
- Built classification models achieving 94% accuracy through rigorous data cleaning and feature engineering.
- Focused on extracting meaningful patterns and optimizing predictive performance on real-world datasets.




Winners - Data-A-Thon
VIT, 2025
- After hunting down clues across the university campus in the scorching heat to unlock the dataset, we developed a CNN model that achieved 91% accuracy on a complex image classification task.
- The model was complemented with real-time result visualizations to interpret predictions effectively.


7th Position @ Leaderboard DataSet '24
VIT, 2025
- In this challenge with 150+ participants, we addressed a problem on predicting and managing user traffic surges in 5G networks.
- We created a synthetic telecom dataset, built an LSTM-based prediction model, and integrated it into a web app featuring network data visualizations and a custom chatbot (Grok) trained on network-related queries.




Finalist - CodeCycle
Anna University, 2024
- A two-phase hackathon where the first round focused on cryptography, deep learning, and JavaScript.
- Our team qualified for the finals, where we built ThunAi — a real-time women’s safety app with live location tracking, secure Firebase storage, and an SOS alert system.



Finalist - DataQuest
VIT, 2024
- Performed EDA and developed impactful visualizations on customer credit finance data, focusing on patterns linked to user behavior.
- In the finals, we presented the classic customer churn prediction system, showcasing actionable insights and key financial indicators to support strategic decisions.



