Developed a semi-supervised machine learning pipeline to detect members of open star cluster from direct observational data
Trained and applied a Random Forest model using Gaia DR2 data and found substructures in several open clusters
Proposed a specific research design to understand if the mass segregation in open cluster is primordial or is it due to the cluster dynamics
Trained an NLP BERT model to classify text into six types of emotions with 93% test accuracy.
Predicted future CO2 levels by fitting quadratic statistical model in historical data using Stan.
Applied Synthetic Control and Matching to understand how women’s power affects the crime reports in India
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Designed an algorithm to draw a genealogical tree based on the similarities of the given gene strings
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Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.