Samriddhi Govil

MBA Candidate at Kellogg | Ex-Goldman| NTU’22

Evanston, Illinois, United States

About

Kellogg MBA Candidate (Class of 2027) with prior experience in Product Management and Data Engineering at Goldman Sachs and a focus on healthcare innovation. I’ve delivered $20M+ in business impact by scaling data products, automating high stakes workflows, and leading cross functional teams across markets, including building an identity resolution platform that streamlined ingestion of 600K+ securities. I also work with Gunjan IVF World as Head of New Initiatives, where I launched India’s first AI based IVF dosage calculator and helped drive adoption across centers. In parallel, I founded Khushiyon Ki Goonj, a women’s health nonprofit that has supported 600+ women through consultations, screenings, and awareness campaigns. I’m currently recruiting for Summer 2026 internships at the intersection of product, technology, and strategy, especially Product Management, Product Marketing, Growth and Marketing Strategy, and Strategic Initiatives roles. Outside of school, I’m into fashion, travel, female health, and skincare.

Experience

  • Head of New Initiatives (pre-MBA) at Gunjan IVF World
    Apr 2025 - Jul 2025 · 4 mos

    -Developed India’s first AI-powered IVF dosage calculator; presenting e-poster at ASRM Conference 2025. -Designed a digital web-app projected to increase customer acquisition and lead conversion by 30%.

  • Goldman Sachs ()
    • Engineering Associate
      Dec 2024 - Apr 2025 · 5 mos

      During my time in Product Data Engineering at Goldman Sachs Singapore, I advanced the firm’s data transformation efforts by driving automation, integrating global exchanges, and strengthening data quality. My work helped unlock multimillion-dollar trading opportunities, accelerate onboarding timelines, and reduce manual processes by over 90%, while collaborating across business and technical teams to translate complex challenges into scalable solutions. Key Contributions: -Drove automation of volatile derivative data validation, accelerating exchange onboarding from days to minutes. -Enabled integration of 600k+ securities across 6+ global exchanges, unlocking a $20M+ trading opportunity while cutting manual effort by 33%. -Delivered an end-to-end testing framework that improved code resilience, reduced technical risk, and accelerated development cycles. -Championed process re-engineering, replacing legacy systems with automated quality controls and achieving ~95% efficiency gains. -Collaborated across functions to shape project scope from ambiguous requirements, enabling accelerated delivery of high-impact initiatives. -Elevated data reliability by streamlining issue resolution, facilitating ~$30M in trading opportunities, and reducing regulatory exposure.

    • Engineering Analyst
      Jul 2022 - Dec 2024 · 2 yrs 6 mos

  • Consultant at EY
    Feb 2021 - Jun 2021 · 5 mos

    Technology Consulting - Data & Analytics -Delivered a 5-month Text Analytics engagement for a leading SE Asian real estate client, contributing to solution design, advanced data analysis, and framework implementation. -Built and curated 10k+ annotated datasets for machine learning models; automated data collection via web scraper and developed a web-based annotation tool, reducing manual effort and boosting efficiency. -Authored playbooks and guides to align stakeholders; recognized for diligence, precision, and high-quality on-time delivery through collaborative teamwork.

  • Data Engineer at Handshakes by DC Frontiers
    May 2020 - Jul 2020 · 3 mos

    -Built a data querying interface with abstraction layers, removing the need for client-side database knowledge and expanding service utility. -Streamlined deployment and testing through interactive documentation and code optimization, improving efficiency and performance.