Expert
Kaggle Rank
Top 3%
23
Notebooks
500+ Forks
2
Research
Published Papers
5+
Projects
Open Source
Professional Journey
Associate Business Intelligence Developer
2025 - PresentConfluent Inc
Business Intelligence Developer Intern
2025 - 2025Confluent Inc
Current Focus
Real-time update from Lab
MALLORN: Detecting Tidal Disruption Events
Developing a machine learning solution for the MALLORN Challenge to classify Tidal Disruption Events (TDEs)—stars torn apart by black holes. The system analyzes simulated LSST photometric lightcurves, utilizing advanced time-series feature extraction to identify rare transients within highly imbalanced astronomical datasets.
Data ScienceFeature EngineeringImbalanced ClassificationTime Series Analysis