Jul 2022 – Feb 2023 · 7 mos · Chicago, Illinois, United States

Jun 2021 – Aug 2021 · 2 mos · Chicago, Illinois, United States

• Project 1: Conducted cross correlations analysis in the commodities markets, identifying strong lead indicators predicting lagged behavior with 89% accuracy. Computed average latency and designed an algorithm to take favorable positions using indicator signals.
• Project 2: Built a random forests classifier to compute optimal hedge time for options positions in commodities markets using realized volatility signals, momentum indicators, and market liquidity metrics, improving instant profits on a 7-month backtest by 550%.
• Other skills obtained: Attended 10+ lectures on options theory and market structure, played several mock trading and algorithmic market making games, won second place in fantasy baseball (game theory activity), played 10 hours of poker per week.

Jan 2021 – Jun 2021 · 5 mos

May 2020 – Aug 2020 · 3 mos

• Taught discrete math and probability theory to a section of 50 students four times a week for 8 weeks.
• Designed and taught review sessions of 150+ students. Assisted in creating content for exams for the class (800+) students.

Jan 2020 – May 2020 · 4 mos

Jan 2020 – May 2020 · 4 mos

May 2020 – Aug 2020 · 3 mos · Delhi, India

• Conducted research on building technologies for effective policing using computer vision and deep learning. (Mentor: Rakshit Tandon)
• Learnt current police practices for cyber crime investigation into hacking, phishing, identity theft and child pornography.

Jan 2020 – May 2020 · 4 mos · Berkeley, California

Aug 2019 – Jan 2020 · 5 mos · Berkeley, California

• Instructing a weekly section of 6 students taking EE16A, focussing on that week’s material.

Jan 2019 – May 2019 · 4 mos · Berkeley, California

• Researching under Distinguished Professor of Energy, Daniel Kammen (Former Science Envoy for the State Department).
• Worked with renewable energy data to create an LCOE visualizer of solar PV installations and storage.
• Project to visualize the impact of climate change (specifically projected rainfall) on hydroelectricity power plants in Mexico.
• Project to correlate population data around different bus routes in Mexico City. Script to convert a dataset containing information about bus routes in Mexico City into the .shp (shapefile) format.
• Project to analyze data of credit scores by census tract and report interesting findings and descriptive statistics by area.

Nov 2018 – Present · 7 yrs 7 mos · Berkeley, California

• Uses computer vision & ML to generates insights to reduce waste at dining halls.
• Piloting at YUM Brands, UC Berkeley, UC Riverside and UC Davis.
• Set up DeWaste India Ltd., raised funding of INR 10 million for expansion of DeWaste Kitchen into the Indian market.
• Part of YCombinator Startup School, Berkeley Amp Accelerator, Skydeck HotDesk; raised $25,000 in equity free funding.

Aug 2017 – Jul 2018 · 11 mos · New Delhi Area, India

May 2017 – Apr 2018 · 11 mos · New Delhi Area, India

• Pro-bono consultancy projects to help out businesses to effectively transition to GST

Aug 2016 – Apr 2017 · 8 mos · Gurgaon, Haryana, India · On-site