Dec 2023 – Jun 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Jul 2022 – Dec 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Select Projects:
• 1) Principal Investors and Private Equity: Commercial Due Diligence of a Global Elevator Co.
• 2) Principal Investors and Private Equity: Commercial Due Diligence of a Engineering Equipments player for a leading Indian PE fund
• 3)Principal Investors and Private Equity: Investment Committee Report on US Oncology bio-similars player for a leading Canadian Pension Fund
• 4) Principal Investors and Private Equity: Vendor Due Diligence for a global insulins bio-similars player
• 5) Tech, Media, Telecom: Growth Strategy for a US based BPM player
• 6) Tech, Media, Telecom: Value Based Pricing Strategy for a US based Digital/Analytics player
• 7) Financial Services: Digital Performance Management Transformation for a leading Asian Public Sector Bank

May 2021 – Jul 2021 · 2 mos

• Saved 30 human hours per week by building a web spider to track FX Products sales opportunities in APAC on 10 financial news website
• Streamlined monitoring of daily efficiency metrics for 78 global FX trading teams by creating 4 automated dashboards to track 126 KPIs
• Ameliorated the average price availability for 100+ currency pairs by identifying & removing 7 bugs in the price streaming workflow
• Enhanced monthly revenues by $120k, by augmenting existing liquidity inventory models, with 2 novel variables for 37 currency pairs

Jan 2021 – Mar 2021 · 2 mos

• Increased average daily gameplays by 7%, by personalizing the landing page for users, based on their historical data of games played
• Amplified monthly revenue of games by INR 400k by introducing interstitial advertisements at 4 points in the user journey of 17 games
• Reduced the firms' expenses on game currencies by 13% by introducing 3 novel features and modifying the coin bundles in the store

Jul 2020 – May 2021 · 10 mos · Kharagpur, West Bengal, India

• Designed end to end operating procedures for the first ever e-campus recruitment drive, amidst a global economic recession
• Achieved 1,000+ job offers in 8 days (fastest across all IITs), placed over 1,300 students and attained 600+ internship offers
• Scheduled 540+ profiles from 250+ firms as a part of the Slotting Team; negotiated hiring numbers, profiles and departments
• Converted 9 first time recruiters (including 2 International firms); contributed to 103 out of 750+ profiles (highest in the team)

May 2020 – Jul 2020 · 2 mos · Mumbai, Maharashtra, India

• Formulated a framework to prioritize one out of three different secondary data types to be used as proxies of firms’ future performance
• Achieved an accuracy of 88% on sentiment score calculations of news articles for 100 stocks by self scrapping them from 12 websites
• Improved the average annual backtested returns of the product by 4%, by adding a weight for dynamic sentiment scores to the model

Aug 2019 – Jul 2020 · 11 mos

• Managed a budget of INR 80k to organize 7 celebrations and 2 tournaments to promote collaborative culture in the hall

Jul 2019 – Jul 2020 · 1 yr

• Organised, Dyuti, a 5 day extravaganza for international students in India from 5 nations with 10 workshops; raised INR 0.2M
• Accelerated the Foreign Training Program 2019, securing 112 offers (57% YoY); raised a total R&D funding of INR 10.6M
• Headed the submission of a 215 page bid backed by sponsorship of INR 2.5M to host HPAIR, world’s largest students’ event
• Managed the first-ever International Young Innovators’ Program in 2019 with participation of 100+ teams from 8 countries

Jul 2019 – Jul 2020 · 1 yr

• Administered a technical workshop with a footfall of 1,570 in collaboration with Microsoft raising sponsorship of INR 0.3M
• Conducted 15 seminars (60% YoY increase) through the year; co-author of 2 published books on guesstimates & soft-skills
• Registered a 50% YoY growth in followers on the media handles of the society through 43 job experience blogs for 30 firms

May 2019 – Jul 2019 · 2 mos · Saskatoon, Saskatchewan, Canada

• Ideated and tested 4 hypotheses to analyze the impact of CSR disclosure & amount on stock prices using multivariate linear regression
• Explained 48% of the variance in equity stock price movements, by constructing 4 estimation issue-free, statistically significant models
• Improved the classification accuracy of referenced stock price signals literature by 5% using CSR based KPIs, awarded co-author status

Dec 2018 – Aug 2019 · 8 mos

• Saved 40+ man-hours by developing a web crawling software using Selenium to extract textual employee reviews and numeric ratings from 4 websites
• Computed sentiment values of employee reviews for 2000+ companies from Standard &Poor's 1500; prepared a matrix to link them with M&A synergies

Dec 2018 – Dec 2018 · 0 mo