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Sukhdeep Singh

Sukhdeep Singh

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location of Sukhdeep SinghHyderabad, Telangana, India

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  • Timeline

  • About me

    Data Scientist at Head Digital Works | IIT Roorkee

  • Education

    • Delhi University

      2017 - 2020
      Bachelor's degree Mathematics

    • Indian Institute of Technology, Roorkee

      2020 - 2022
      Master of Science - MS Mathematics

      Activities and Societies: Department Placement Representative Dramatics Section , IIT Roorkee

    • Sri Guru Tegh Bahadur Khalsa College

      2017 - 2020
      Bachelor of Science - BS Mathematics

      Activities and Societies: Ankur - The Theatre Society (2017-18)

  • Experience

    • ANKUR - The Theatre Society of SGTB Khalsa College

      Aug 2017 - Jun 2018
      Member

    • Unacademy

      Nov 2019 - Mar 2020
      Educator

    • Chegg Inc.

      Jan 2020 - May 2022
      Managed Network Expert

    • Placement and Internship Cell, IIT Roorkee

      Sept 2020 - May 2022
      Department Placement Representative

    • Dramatics Section IIT Roorkee

      May 2021 - May 2022
      Member

    • Head Digital Works

      Jun 2022 - now

      Working for Marketing Analytics and New User Journeys.Knowledge of Marketing Analytics, Campaign Optimisation, User Segmentation, Reporting Frameworks, RCAs for Acquisition and Retention KPIs, Spends and CAC Optimisation.Focusing on driving quality conversions through data-driven experimentation across various acquisition sources.Working on optimizing user acquisition strategies by refining source-level, channel-level, and creative-level performance to maximize marketing ROI.Beyond acquisition, I leverage A/B testing and personalization strategies to enhance user engagement and retention, ensuring seamless and impactful new user journeys. Tools: SQL (Vertica Workbench), Python, MS Excel, Power BI, MicroStrategy, Appsflyer & Google Analytics. Show less Worked for Responsible Gaming, Risk & Fraud and Marketing AnalyticsKnowledge of Responsible Gaming Practices, User Connection, Fraud/Anomaly detection, Player Behaviour Analysis and Developing Interventions to Mitigate Potential Gaming Related Harms with Predictive and Reactive ModelsWorked end-to-end with the risk management team to build an RG engine that proactively identifies problematic players with a recall score of 88%. Developed an RG dashboard that assigns labels to players, considering the intelligence of algorithms, to make insights more accessible for non-technical stakeholders. This system not only explains why a user was flagged but also provides recommended actions, achieving 90% accuracy in these recommendations.Tools: SQL (Vertica Workbench), Python, MS Excel and MicroStrategy Show less

      • Data Scientist

        Apr 2024 - now

      • Associate Data Scientist

        Jun 2022 - Apr 2024

  • Licenses & Certifications