Achievements
Wharton People Analytics Case Competition 2021
Winning Team
Hosted by the prestigious Wharton School of Business, our team consisting of Nischith Sriram, Luv Nambiar & myself secured first position in this global competition. We were the only Indian and also the only undergraduate team among the finalists. We also got an opportunity to present our insights at the Wharton People Analytics Conference 2021.
The objective of the competition was to provide actionable recommendations to the 'Teach For America' nonprofit organization. Our findings involved using extensive data analysis & nudge theory to make data-driven suggestions to TFA's applicants. We also proposed an innovative Reinforcement Learning model to make optimized offers to the TFA applicants. My own contributions were towards data analytics, reinforcement learning & visualizations.
ASEAN-India Hackathon 2021
Winning Team
Hosted by the Indian government along with the national governments of ASEAN countries, our team consisting of Keerthi Rajan, Shruti Rampure, Swapnil Panwala, Ngoc Bui, SivEng Orn & myself secured first position in this multi-national hackathon.
Our problem statement concerned defence against pirate attacks on the sea. Our solution was threefold: (1) Risk Analysis before ships set sail based on historical pirate attack occurences; (2) On-ship Piracy Defence while ships are sailing; and (3) Post-Attack Tracking & Insurance Evidence based on satellite imagery. My own contributions were towards Risk Analysis & Satellite Image Processing.
Smart India Hackathon 2020
Winning Team
Hosted by the Ministry of Education Innovation Cell, our team consisting of Saurabh Agarwala, Vaibhav G., Shashank Jaiswal, Linu George, Rakshatha Vasudev & myself secured first position in this national-level hackathon.
Our problem statement was regarding cotton price forecasting. Our solution consisted of extensive feature engineering to build time series forecasting models capable of forecasting prices of different types of cotton for different districts & states on a daily, weekly and monthly timeline. We also developed an e-commerce website and an android app to help customers leverage the forecast data while buying or selling cotton produce. My own contributions were towards feature engineering & time series forecasting.
Sih final ppt from SakshatRao
R2 Data Labs Responsible Growth Hackathon 2023
Winner
Hosted by Rolls-Royce's R2 Data Labs & HackerEarth, I secured first position in this national-level hackathon.
The problem statement was to help airlines identify new air travel routes in the Indian market. My proposal served as an end-to-end web application solution to help airlines identify potential new flight routes. Several parameters of the flight route could also be tweaked to analyze the profitability of the route.
India Automobile Hackathon 2022
Winner
Hosted by Isuzu Motors India, Mitsubishi Corporation India, NEC & HackerEarth, I secured first position in this national-level hackathon.
The problem statement was to find innovative ways to market Isuzu's pickup trucks for the Indian market. My proposal served as a mobile app solution connected through IoT to an OBD2-based embedded device in the pickup trucks. This would enable features like vehicle-usage monitoring and fuel-level alerts. Other features like adventure recommendations & automatic compilation of a journey's images & videos aimed at enhancing the Isuzu pickup truck's appeal as an adventure vehicle.
Swadeshi Microprocessor Challenge 2020
Semi-Finalists
Hosted by the Ministry of Electronics & Information Technology, Government of India, our team consisting of myself (team leader), Atulya Mahesh, Kumar Alabhya, Sahith S R & Abhijit Gupta reached the Semi-Final stage of this national-level hackathon.
The problem statement was to build an application using the Swadeshi Microprocessors Shakti & Vega. Our proposal used CCTV cameras to dynamically schedule traffic signals based on the real-time traffic. Other innovative features included prioritizing emergency vehicles during traffic, inter-city traffic-signal communication, traffic violation detection among others.
Cube Highways Hackathon 2021
Finalist
Hosted by NEC, Mitsubishi Corporation India & HackerEarth, I was a finalist in this national-level hackathon.
The problem statement was to use technology to improve the services of highway-side amenities called 'CubeStops'. My proposal served as a web application solution enabling highway travelers to pre-order their food using a virtual menu before reaching the CubeStop. This aimed at minimizing their journey time. AI-assisted recommendations were also provided based on the customer's order history.
India PropTech Hackathon 2021
Finalist
Hosted by NEC, Mitsubishi Corporation India & HackerEarth, I was a finalist in this national-level hackathon.
The problem statement was to add value to Indian middle-class residential properties through technological solutions. My proposal involved developing a personalized chatbot to provide answers, clarifications and reassurances to under-construction homebuyers. The chatbot would provide customers with real-time construction updates and leverage NL-to-SQL techniques to answer customer-specific queries.
Worldwide AI Hackathon 2023
Semi-Finalist
Hosted by WowDAO, I was a semi-finalist in this international-level hackathon.
The problem statement was to innovate synthetic data usage in sectors with limited real datasets. My proposal was a simulation & analytics tool for testing different kinds of dynamic traffic signal scheduling algorithms for various traffic conditions. This would help in quantitatively judging different algorithms for traffic signal scheduling.
Geoffrey Hinton Fellowship's Hackathon-1 2021
Top 30 Rank
Hosted by Univ.AI, I secured a top 30 ranking in this national-level Machine Learning hackathon.
The problem statement involved predicting the credit risk score of different individuals. My approach involved extensive feature engineering, SMOTE resmapling to handle class imbalance, thorough hyperparameter tuning and ensembling gradient boosting models like XGBoost, LightGBM & CatBoost.
IET Present Around The World 2020
Local Network Round - Top 4
Hosted by IET, I secured a top 4 position in the Local Network Round of this presentation competition.
My topic of presentation was 'Future of Artificial Intelligence in Healthcare' which touched upon the fear of machines replacing doctors & nurses in the future and my argument of how the significance of empathy, human touch & intuition in the medical field should quell these fears.
IET NITK Present Around The Net 2021
Second Place
Hosted by IET NITK, I secured second position in this presentation competition.
My topic of presentation was 'Neuromorphic Computing' which touched upon the concepts of hardware trying to mimic neurons, which would eliminate several limitations of conventional software-based training.
Synthessence 2018
Second Place
