Secured 6th rank among 1453 teams in developing a regression model for predicting CO2 emissions in a time-series dataset.
(July - Aug 2023)
Achieved a Bronze medal for ranking in the Top 5% among 6430 teams.
Developed a multi-class classifier for predicting health conditions using 56 anonymous health markers in a heavily class-imbalanced dataset.
(Aug 2023)
Developed an LSTM model for activity recognition during football matches. Performed feature engineering by assigning teams to players via K-means clustering and tracking football and players' locations. The developed LSTM model achieved 76% accuracy.
(July - Dec 2022)