I am passionate about finding data-centric solutions using my data science & machine learning toolset. I aim to create value and make impact by combining my business experience and analytical skills as Data Scientist.
WiDS hosted a Datahon on Kaggle in which I participated. The objective was to predict a temperature metric given a structured dataset. I used Random Forests and Neural Network architectures combined with various feature engineering and reduction approaches. Find the documentation & code on Github.