May 2024 – Jul 2024 · 2 mos · San Jose, California, United States · On-site

• Led market research on LLMOps ecosystem, identifying AI lifecycle trends and use cases; leveraged insights to recommend initiatives for Enterprise AI Roadmap, including due diligence of 100+ startups for alliances to offer unified GenAI platform
• Conducted competitor analysis in High Performance Computing market, identifying opportunity to boost AI/ML workload compatibility and credibility through NVIDIA certifications and targeted collaterals, improving visibility in AI/ML market maps

Mar 2024 – May 2024 · 2 mos · Chicago, Illinois, United States · Remote

• As a part of "Lab in Developing New Products and Services" at Chicago Booth:
• Market Space Assessment and User Research: Conducted detailed market and competitor analysis specific to Pinterest. Executed qualitative user interviews with over 20 users to identify key pain points and "Jobs to Be Done," creating detailed customer personas and journey maps.
• Ideation and Prototyping: Generated 100 potential ideas addressing identified user needs, which were refined to the top 3 concepts through rigorous screening and prototyping. Employed design thinking principles and user feedback to iterate and enhance these concepts.
• Final Recommendation and Financial Analysis: Selected the best concept, through quantitative testing and analysis. Developed comprehensive financial projections and competitive analysis using Pinterest's 10-K and investor day documents, recommending a feature projected to increase active shoppers from 18% to 21%, significantly enhancing user engagement and targeted advertising.

Sep 2021 – Aug 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India

• Ensure that the Walmart Catalogue data is clean, accurate, devoid of offensive content, and easily searchable. Work in an agile environment to deliver high quality solutions for business use cases, with globally distributed and remote teams, leveraging cutting edge ML tools, conduct innovation research, and drive patents and publications.
• Spearheaded Responsible Artificial Intelligence research to reduce bias by evaluating multiple product categories to identify representation imbalances; modified Machine Learning algorithms, enhancing ethnically diverse toys representation by 20%
• Prioritized criteria to promote high-value products by standardizing product specifications in collaboration with third-party vendors allowing for catalog information consistency to influence consumer purchasing, catalyzing a $56M surge in GMV
• Developed 40+ Language AI models to populate missing attributes in 1B+ global products catalog, automating supplier onboarding process and merchandise acquisition and improving content quality; enhanced customer engagement by 3.2%
• Orchestrated strategic overhaul of catalog enrichment by identifying and resolving tech-debt and implementing new Language Model architectures for billion-product pipeline (with >95% accuracy), reducing development-to-enrichment time by 80%
• Experimented with algorithmic and statistical methods to devise real-time evaluation framework for detecting data drifts, automating quality checks on new data for AI/ML models and enhancing model robustness; saved 110 person-hours monthly

Apr 2021 – Aug 2021 · 4 mos · Bengaluru, Karnataka, India

• Develop and deploy novel analytical models and scorecards adopting the latest trends in fintech for financial models, risk strategies to assess risk profile of a customer, identifying cross-sell opportunities and fraud control for new and existing customers and constantly improve the operational efficiency. Monitor portfolio and identify business growth opportunities.
• Launched Paytm co-branded credit card for retail users and merchants; segmented 330M Paytm users based on spending habits and customer journey to identify target market for credit card, accelerating HDFC’s penetration in digital payments adoption
• Managed developer and design teams to build product roadmap for automation of credit default prediction models, integrating user feedback for iterative enhancement; expedited model development, reducing hours by 90% and unlocking $500K in savings

Jul 2018 – Apr 2021 · 2 yrs 9 mos · Bengaluru, Karnataka, India

• Increase data efficiency and data interpretability prioritizing business needs for Applied Intelligence. Understand client supply chain situation/issues and identify analytics solutions to translate valuable business decisions for the client.
• Led Verizon’s data science initiatives to enhance B2B client service, curating ML models to refine order service time predictions (15% increased accuracy); ensured strategic alignment across service milestones and multimillion-dollar contract adherence
• Managed cross-functional teams across three geographies to address $30M industrial equipment depreciation and time-to-failure for Russian plant of Lafarge Holcim; proposed optimal operational conditions, extending equipment lifespan by 16%
• Designed forecasting strategy to drive sales projections of 400+ brands for Unilever Indonesia and US across general and modern trade channels and seasons for agile inventory management and market responsiveness, achieving >85% accuracy
• Led development of a dynamic vehicle routing tool with interactive visualization, integrating real-time traffic data to enhance fleet management, carving new business niche; secured contract with major Indian pharma to ensure timely product delivery
• Generated insights on longevity of pivotal healthcare equipment for Philips Netherlands to recommend sales forecasts with 95% accuracy; automated management dashboards of 12 KPIs evaluating new market expansions, saving 70+ person-hours monthly

May 2017 – Jul 2017 · 2 mos · Kolkata Area, India

• Trainee in the Consulting SBU of the Advisory Line of Service in PricewaterhouseCoopers Private Limited("Firm").
• Developed NLP Model tagging Tax Codes to company expenses leading to reduced person hours. Project presented to National Direct Tax Leader of PwC India.

Apr 2017 – Jun 2018 · 1 yr 2 mos · Mumbai Area, India

• o Member of the Placement Cell, IIT Bombay
• o Facilitating placements for 1700+ graduating students by negotiating with national/ international
• firms and managing student – employer interactions.
• o Currently handling 30+ firms and coordinating between corporates and IIT Bombay.
• o Organizing events (Interviews,Pre-placement talks, aptitude tests,etc.) for graduating batch of students.
• o Tracked offer letters of the already placed graduating batch of students.

Jul 2016 – Apr 2017 · 9 mos · Mumbai Metropolitan Region

• Elected student, in a class of 35 students, with primary responsibility of coordination between students enrolled in the course, the faculty of the Maths Department.
• Worked with the students and the staffs on their programme to improve the learning experience.
• Gathered student opinions on academic issues and fed those back to the higher authority, both student and teaching, through both formal and informal channel.