Jul 2022 – Sep 2023 · 1 yr 2 mos

• I am a Quantitative Researcher at the electronic Foreign Exchange Desk at Morgan Stanley.

May 2021 – Aug 2021 · 3 mos

• Designed novel deep learning models to find targetable segments for marketing strategy.
• Incorporated user-wise importance and accounted for unobserved behaviors to allow for better targetability.
• Used Power BI to analyse and visualize the results of the model in an interactive form.

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka, India

• Developed algorithms to identify high potential direct-to-consumer brands from a universe of over 300,000 products.
• Formulated an automated system to improve deal flow sourcing accuracy, speed, and coverage.
• Performed a comparative study of logistics sectors in India and China, with specific reference to new age, tech enabled solutions.

Jun 2019 – Jul 2019 · 1 mo · India

• Worked on supervised and unsupervised learning methods, including CycleGANs and Auto-encoders for thermal images.
• Developed a new deep learning based model for density estimation, which was presented at SABCS 2019, a leading Breast Cancer Conference

May 2019 – Feb 2020 · 9 mos

• Spearheaded a team of 17 Coordinators and 40+ volunteers to conduct 14 events and workshops in Shaastra 2020.

Nov 2018 – Dec 2018 · 1 mo · India

• Worked on building neural networks for predicting tags for chat rooms.
• Made a web service using flask on python for deployment of the model.