Industry Experience

  • Uber, Jul 2026 – Present
    • Project Advisor: Supervising a project that applies machine learning and inferential statistics to identify advertising dispute drivers and flag high-risk transactions in the England market, spanning historical data analysis, automated dispute classification, predictive modeling, and proof-of-concept development. The project aims to reduce payment disputes, mitigate revenue leakage, and improve operational efficiency, with a roadmap for integration into Uber's FinTech infrastructure and expansion to other markets.
    • Project Sponsor: David Majors (Head of Order-to-Cash, Global Process Owner)
  • Lam Capital, Jul 2026 – Present
    • Project Advisor: Supervising a project to modernize investment data management and portfolio analytics, including automated financial data extraction from PDF and Excel reports, a centralized portfolio data repository, and business intelligence dashboards for equity ownership tracking, investment performance analysis, and internal rate of return (IRR) calculations.
    • Project Sponsor: Eva Liu (Portfolio Manager)
  • Roblox, Jan 2026 – Jun 2026
    • Project Advisor: Supervised a project applying NLP and large language models to evaluate interviewer effectiveness from real hiring interview transcripts. The team built an LLM-based scoring framework covering active listening, structured interviewing, job-related probing, and time management, validated it against expert human ratings using inter-rater reliability metrics and a bias and reliability audit, and delivered an analytics dashboard surfacing interviewer performance patterns and development opportunities.
    • Project Sponsor: Philip Simmons (Manager, People Science)
  • NTT DATA AIVista, Jan 2026 – Jun 2026
    • Project Advisor: Supervised a project to build an onboarding agent that takes new hires from "you're hired" to "you're ready for day one," delivering a single coordinated experience across HR, IT, Legal, and Finance. The agent integrates with internal systems to handle background checks, immigration, orientation, equipment selection, payroll, and compliance touchpoints, keeping teams aligned through task assignments and a live, LLM-powered status summary, and answering new-hire policy questions grounded in company policy.
    • Project Sponsor: Bratin Saha (Chief Executive Officer)
  • LatentView, Jan 2026 – Jun 2026
    • Project Advisor: Supervised a project that shifted customer-retention planning from reactive 28-day inactivity flags to proactive, four-week-ahead intervention. The team engineered 40+ behavioral, ecosystem, and lifecycle-marketing features, trained an F2-optimized XGBoost–CatBoost ensemble with a logistic regression meta-learner, and deployed a containerized FastAPI–React GenAI RAG application turning dormancy-risk scores into targeted campaign recommendations and drafts for marketers.
    • Project Sponsor: Prasun Velayudhan (Director, Global Business Unit Head)
  • DigitalOcean, Jan 2025 – Sep 2025
    • AI Consultant: Supervised a project to develop a web interface that lets potential customers upload receipts or invoices from major cloud computing providers (e.g., AWS, Azure, Google Cloud) and compare costs against DigitalOcean's pricing, using large language models for text extraction and processing, image recognition for parsing receipts, and a structured database for storing and analyzing pricing information.
    • Project Sponsor: Bratin Saha (Chief Product and Technology Officer)
  • Roblox, Jan 2025 – Jun 2025
    • Project Advisor: Supervised a project to develop a proof-of-concept solution that automatically extracts key themes and insights from session transcripts, conducts sentiment analysis to gauge participant reactions, flags critical moments of confusion, frustration, or emerging usability issues, and recommends how to integrate existing AI/NLP/LLM tools into the workflow.
    • Project Sponsor: Arvind KC (Chief People and Systems Officer)
  • LatentView, Jan 2025 – Jun 2025
    • Project Advisor: Supervised a project to develop an analytical framework that helps marketers optimize campaigns through insights into brand performance, product categories, campaign timelines, marketing channels, costs, revenues, and profits, aligning marketing strategies with broader business objectives.
    • Project Sponsor: Prasun Velayudhan (Director, Global Business Unit Head)
  • Teladoc Health, Jan 2023 – Feb 2025
    • AI Lead: Developed a chatbot (AIVA) built on ML, NLP, generative AI, Microsoft Azure, Copilot Studio, Power Automate, the OpenAI API, and the Workday API that not only answers questions but performs transactions on behalf of an employee; developed a predictive model for provider/talent recruitment and retention strategies using ML and NLP; and created a range of dashboards for the people experience team.
    • Project Sponsor: Arnnon Geshuri (Chief People Officer)
  • Jibu Inc., Jan 2024 – Jun 2024
    • Project Advisor: Supervised a project predicting purified water demand across franchises and time periods using ML models including random forest, gradient boosting, and LSTM/GRU that leverage weather, stock market, and pricing data, with Tableau dashboards to visualize all data sources.
    • Project Sponsor: Antonia Nalunga (Chief Operations Officer)
  • Intuitive Surgical, Inc., Jan 2023 – Jun 2023
    • Project Advisor: Supervised a project analyzing speech transcripts from earnings calls and investor conferences, building a pipeline to identify, extract, and label topics and key conversations, perform sentiment analysis, and log the core message of the conversation history for each topic.
    • Project Sponsor: Brandon Lamm (Sr. Manager, Investor Relations)
  • Amazon Web Services (AWS), Jan 2022 – Jun 2023
    • Project Advisor: Supervised a project using external data from the AWS customer intelligence portal to develop an algorithm that prioritizes customers and next sales actions — which customers have the best potential for closing a sale, and what actions move a deal forward.
    • Project Sponsor: Swati Choksi (Senior Leader, Solutions Architecture)
    • Project Advisor: Supervised a project applying financial tools on AWS SageMaker JumpStart to a dataset of quarterly earnings calls, building a large dataset of audio files and transcripts, joining daily stock returns and SEC filings, fitting a multimodal stock prediction model, summarizing transcripts with Transformer models, and building a question-answering system over SEC filings and earnings calls.
    • Project Sponsor: Bratin Saha (VP and GM at Amazon), Sanjiv Das (Amazon Scholar)
  • Rubrik, Inc., Jan 2022 – Jun 2022
    • Project Advisor: Supervised a project predicting pipeline-to-booking conversion ratios by category using machine learning and time series models.
    • Project Sponsor: Sham Reddy (Director of Data, BI & Advanced Analytics)
  • Cloudera, Inc., Jan 2022 – Jun 2022
    • Project Advisor: Supervised a project analyzing industry and revenue-size-band penetration relative to competitors as an indicator of land/expand potential and churn risk, and using IT spend, competitor penetration, and installed footprint to size the largest market segments for Cloudera's products.
    • Project Sponsor: Thibault Aimé (Director of Corporate Strategy)
  • Adobe Inc., Jan 2021 – Dec 2021
    • Project Advisor: Supervised a project to build a system that identifies and isolates cohorts of customers with atypical product engagement patterns, as well as the cohorts driving overall engagement trends, and surfaces them to the relevant internal stakeholders.
    • Project Sponsor: Matt Bergstrom (Director of Product & Customer Analytics)
  • Nuveen, A TIAA Company, Jan 2021 – Jun 2021
    • Project Advisor: Supervised a project building cross-sell and retention models to target high-risk individual advisors, identify anomalies in advisor behavior, and build life cycle analytics measuring prospecting, client acquisition, client development, and retention.
    • Project Sponsor: Santanu Sengupta (Managing Director)
  • Atollogy, Inc., Jan 2019 – Dec 2020
    • Project Advisor: Supervised two projects — a dashboard visualizing large volumes of sensor data and aggregating it into weekly and monthly operating patterns and metrics, and a machine learning model to recognize and correct misread vehicle license plate numbers caused by irregular stoppage times and other factors.
    • Project Sponsor: Rob Schoenthaler (CEO)