Sep 2024 – Jan 2025 · 4 mos

Sep 2024 – Dec 2024 · 3 mos

Jun 2024 – Sep 2024 · 3 mos · Greater Pittsburgh Region · Hybrid

• Private Equity + Real Estate;
• Doubled asset pricing efficiency by creating an automated BI dashboard for market asset comparisons.
• Used financial modelling and data analysis to price $25M in commercial assets through pro forma and sensitivity analysis.

Jan 2024 – May 2024 · 4 mos · Pittsburgh, Pennsylvania, United States

• Led research and market strategy to develop a data product for Carlisle (NYSE: CSL), projecting 3% revenue gain; As part of grad school's Corporate Startup Lab

Jan 2024 – May 2024 · 4 mos · Pittsburgh, Pennsylvania, United States

• Potentially boosted US rail network efficiency by 20% using Python simulations to optimize train capacity for Wabtec (NYSE: WAB); As part of grad school capstone project

Feb 2023 – Jun 2023 · 4 mos · Hyderabad, Telangana, India · On-site

• Developed/ launched 3 new products (virtu3D.io, virtual.fountane.com, fueled.community), achieved >5k DAU
• Generated 4M impressions across social media platforms (incl. Twitter Threads, Blogs, Linkedin posts, Instagram reels, etc.) by leading a team of 10, enabled strong brand development for the CEO and the company
• Raised emergency funding worth ~$20k through design and presentation to key investors, thereby providing 4 months of additional runway for product upgrades
• Drove the acquisition of SlipBox through founder negotiations, redefined brand strategy, developed product road-map and resourcing (launched a recruitment form, received 10k+ responses & recruited with 5% acceptance)

Jun 2021 – Jan 2022 · 7 mos · Mumbai, India | Remote

• Achieved a 10X increase in the monthly collection efficiency by restructuring team manpower and communications; Earned an accolade from our NBFC partner for over-delivering on our target
• Generated ~ $750K of GTV in 15 days, by managing a team of 8 people and establishing the firm’s multilingual telecalling team
• Reached 50K+ people by guiding cross-functional teams through creative development, quantitative and qualitative research, for an android app’s marketing campaigns (Print and digital)
• Designed and implemented a CRM for the digitization of the company’s lead conversion funnel by streamlining processes, metrics, and dashboards horizontally across the firm

Sep 2020 – Apr 2021 · 7 mos · Remote

• Owned a US-based Family Office & Wealth Management client (AUM: $25 Bn+) for their deal execution, deal sourcing, and business development verticals
• Sourced multiple $5 Bn+ SPAC targets by spearheading secondary research and sector landscaping, company and investor profiling by leveraging databases such as FactSet, Refinitiv Eikon, and IBISWorld
• Assisted across various deal cycle stages: Converting public financials to financial models (DCF, LBO, and comparables), conducting industry research and sector landscaping, company and investor profiling
• Achieved a 95% reduction in secondary research time by streamlining data compilation processes through the implementation of an Excel macro and web scraping solution

Nov 2018 – Jan 2019 · 2 mos · Mumbai, India · On-site

• Sell Side Institutional Equity Research Trainee in the Auto and Auto Ancillaries Team
• Framed key market charts in the Investor Roadshow Presentations for multiple companies applying for IPO
• Conducted channel checks on $25K per annum worth of vehicles for informing the sales and demand outlook sections within the analyst recommendation reports on multiple leading 2-Wheeler Indian Original Equipment Manufacturers (OEMs)
• Executed multiple analyses of financial ratios and multiples of key OEMs by leveraging financial, operational, and investing metrics from Bloomberg and Capitaline

Jun 2018 – Jun 2019 · 1 yr · Mumbai, India

• Led the research group with Prof Masaaki Nagahara (Full Professor, University of Kitakyushu, Japan) and successfully restored the depicted ornaments and facial features including facial expressions of people and deities in multiple paintings in Ajanta Caves, Mumbai.
• Optimized the method of image inpainting using deep image prior for restoring cave paintings.
• Used a 4 layer CNN in conjunction with a GAN to identify pixels in the inpainting region that actually represent unscathed parts of the painting.
• Achieved results very close to ground truth (tested on paintings whose older images were available)
• Attended SC 629: “Sparsity Methods for System and Control”.
• Digitized the course notes in LaTeX for their usage by future course students.

Jun 2017 – Aug 2017 · 2 mos · Mumbai, India

• Designed and built an autonomous line follower robot from scratch using an Arduino UNO Board as the microprocessor
• Consolidated a comprehensive overview of the assembly, components used and problems overcome in the project report