{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Shrawan Sapre",
    "label": "Associate Director of Data Science. Applied ML for Fortune 500 advertisers.",
    "email": "shrawansapre@gmail.com",
    "url": "https://shrawansapre.com",
    "summary": "6+ years of applied ML at OMD USA: first-party data ingestion, propensity and lookalike modeling, customer lifetime value, segmentation, A/B testing, and Markov-chain multi-touch attribution, plus privacy-safe measurement in data clean rooms. Solo-built and launched Kuthé, a live iOS and web app with a two-stage LLM classification pipeline on the Anthropic Claude API.",
    "location": {
      "city": "New York",
      "region": "NY",
      "countryCode": "US"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "ssapre",
        "url": "https://linkedin.com/in/ssapre"
      },
      {
        "network": "GitHub",
        "username": "shrawansapre",
        "url": "https://github.com/shrawansapre"
      }
    ]
  },
  "work": [
    {
      "name": "OMD USA",
      "position": "Associate Director, Data Science (Marketing Science)",
      "location": "New York, NY",
      "description": "Omnicom Media",
      "startDate": "2021-07",
      "highlights": [
        "Automated the ML modeling pipeline, cutting turnaround from 3 days to under 30 minutes (95%)",
        "Improved ETL efficiency and accuracy by 80%+ across client campaigns (Redshift, S3, BigQuery)",
        "Lead and mentor a team of 4+ data scientists; set code review, version control, and reproducibility standards",
        "Supported 5+ new client wins representing $2B+ in combined media spend",
        "Directed clean room work across Google Ads Data Hub, Amazon Marketing Cloud, and Facebook Advanced Analytics",
        "Built Markov-chain multi-touch attribution models, replacing last-click with data-driven channel credit"
      ]
    },
    {
      "name": "OMD USA",
      "position": "Senior Associate, Data Science",
      "location": "New York, NY",
      "description": "Omnicom Media",
      "startDate": "2019-11",
      "endDate": "2021-07",
      "highlights": [
        "Built foundational attribution, clustering, and audience modeling for top-tier accounts; promoted to Associate Director"
      ]
    },
    {
      "name": "Annalect",
      "position": "Data Science Intern",
      "location": "New York, NY",
      "description": "Omnicom Media",
      "startDate": "2019-08",
      "endDate": "2019-11",
      "highlights": [
        "Audience building and data match-rate analysis; converted to full-time"
      ]
    },
    {
      "name": "Stevens Institute of Technology",
      "position": "Graduate Student Assistant",
      "startDate": "2018-12",
      "endDate": "2019-05",
      "highlights": [
        "Data analysis and KPI dashboards"
      ]
    }
  ],
  "volunteer": [
    {
      "organization": "Four Hands Collective, Inc.",
      "position": "Founding Board Member",
      "startDate": "2025",
      "summary": "NYC 501(c)(3) supporting local performing artists",
      "highlights": []
    },
    {
      "organization": "HopeOneSource",
      "position": "Software Developer (Volunteer)",
      "startDate": "2019-07",
      "endDate": "2022-07",
      "summary": "Non-profit serving the homeless community",
      "highlights": []
    },
    {
      "organization": "Stevens Institute of Technology",
      "position": "President, Society of Computer Science",
      "startDate": "2018-01",
      "endDate": "2019-05",
      "highlights": []
    }
  ],
  "projects": [
    {
      "name": "Kuthé",
      "description": "Independent coffee shop finder that filters out chains. React web plus a React Native/Expo iOS app sharing one Node/Express API and PostgreSQL.",
      "startDate": "2023",
      "url": "https://kuthe.coffee",
      "highlights": [
        "Maps nearby search → Rule-based filters → Claude API reasoning for ambiguous cases → Cached in Postgres",
        "Geo-hash caching for map API calls.",
        "CI/CD with GitHub Actions; OTA updates via Expo EAS.",
        "Hosted on Netlify + Heroku + Supabase.",
        "Kuthé on the App Store: https://apps.apple.com/us/app/kuth%C3%A9/id6760719584"
      ]
    }
  ],
  "education": [
    {
      "institution": "Stevens Institute of Technology",
      "studyType": "M.S.",
      "area": "Computer Science",
      "endDate": "2019-05"
    },
    {
      "institution": "C-DAC Bangalore",
      "studyType": "PG Diploma",
      "area": "Big Data Analytics",
      "endDate": "2017-02"
    },
    {
      "institution": "PES Institute of Technology",
      "studyType": "B.E.",
      "area": "Telecommunications Engineering",
      "endDate": "2016-08"
    }
  ],
  "skills": [
    {
      "name": "Languages",
      "keywords": [
        "Python",
        "SQL",
        "JavaScript"
      ]
    },
    {
      "name": "Applied ML",
      "keywords": [
        "propensity and lookalike modeling",
        "segmentation",
        "CLV",
        "A/B testing",
        "Markov-chain attribution",
        "scikit-learn",
        "pandas"
      ]
    },
    {
      "name": "Data",
      "keywords": [
        "BigQuery",
        "Redshift",
        "S3",
        "PostgreSQL",
        "Supabase"
      ]
    },
    {
      "name": "Clean rooms",
      "keywords": [
        "Google ADH",
        "Amazon Marketing Cloud",
        "Facebook Advanced Analytics"
      ]
    },
    {
      "name": "LLM apps",
      "keywords": [
        "Anthropic Claude API",
        "classification pipelines",
        "prompt design",
        "caching"
      ]
    },
    {
      "name": "Product engineering",
      "keywords": [
        "React",
        "React Native",
        "Expo",
        "Node.js",
        "Express",
        "GitHub Actions"
      ]
    }
  ]
}