* Working on real-time prediction of whether an incoming login request to the GoJek app will create a potential account takeover situation* Worked on defining churn for GoPay and building an ML model to predict the list of customers who might not transact in the near future.

* Created a dashboard in Python for understanding the developer/team productivity of various engineering teams in Go-Jek by scraping their Git activity, build pipelines and system monitoring logs.* Worked on generating weekly income summary for drivers in Singapore when Go-Jek was launched in Singapore.

* Led a team of 3 members to extract the treatment pattern for a specific type of cancer using medical forum posts for one of the largest Pharma clients. * Worked on aftermarket spare part price elasticity estimation and subsequent pricing optimization for the biggest auto manufacturer in the US* Worked on building a robot which was envisioned as an IOT project involving GPU, RaspberryPi and other hardware with cutting-edge Machine Learning algorithms for Facial Recognition, Speaker Recognition, Speech to Text, Speech Diarization and Text Summarization

* Worked on Human Detection using classical techniques like HOG and SIFT and also researched the scope of Probabilistic Graphical Models (PGM) for object detection* Worked on real-time video analytics project for understanding the driver qualities from a race video* Worked on research and deployment of "Facial Expression Recognition" and "Audio Emotion Detection" using different Deep Learning framework* Built a virtual conversational chat-bot to interface with all the demos in the lab