Jan 2022 – Jul 2022 · 6 mos · Bengaluru, Karnataka, India

• 1)Worked on Uplift modelling and optimized the existing model by involving sequential features with the aggregated features. Created a model to train the data and designed the A/B testing framework to evaluate the model. Models used decision trees, XGB, LGBM, and random forests.
• 2)Performed an analysis based on Sequential modelling to trace the user's trajectory to detect a pattern of user activity to model their churning behaviour.
• 3) Build a supervised learning model to identify the amount of deposit cash given to inactive users. Models Used XGB, Light GBM
• 4) Identified the user context to generate insights and created features to be used by the team for modelling

May 2021 – Aug 2021 · 3 mos

• Worked on FHIR resources(US healthcare). Build a library using python to validate the FHIR data according to multiple data formats.
• Build a pipeline that processes the injected data, maps it to the accepted format after validating it, to and store it efficiently to be fetched across using Apis.

May 2019 – Jul 2019 · 2 mos · Rajasthan, India

Sep 2018 – Sep 2020 · 2 yrs

Aug 2018 – Mar 2019 · 7 mos · Rajasthan, India

• Member of the organizing committee for Startup intern Fair held on 20th Jaunary 2019 during the techo-management fest Plinth