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Sonu KumarSK

Sonu Kumar

data analyst

€215/day
Dubai City, AE
8-15 years

Average response time: 1 hour

About Sonu

Seasoned analytics professional with 9+ Years of experience solving complex business problems and managing stakeholder relationships across diverse industries and markets (US, MENA, APAC) (retail, e-commerce, manufacturing, FMCG, F&B, food delivery, ride hailing, fintech)
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Kitopi
    Data & Product Analytics
    E-COMMERCE
    May 2022 - Today (4 years)
    Dubai City, United Arab Emirates
    Manage the menu data team to drive data and product initiatives
    ● Worked closely with Product managers, backend and data engineers to identify use cases and implemented data pipelines
    ● Engaged with stakeholders to gather requirements to drive projects/initiatives by setting up roadmaps, and sharing regular updates
    ● Designed and Implemented 6 dashboards (product performance, campaign performance, food cost ratio, sales growth)
    ● Quantified the impact of differential pricing feature across food delivery app and locations by running experiments(A/B test)
    ● Flagged real-time menu sync errors(publishing error) and issues(wrong mapping), reducing order rejection by 20%
    ● Worked closely with Product and Data Science team to build, measure and implement marketing intelligence model achieving 5%
    higher revenue target
    ● Built data science model to identify and quantify the key drivers(marketing, operations, competitor analysis etc) of growth for 200+
    brand, enabling data-driven decision-making and unlocking valuable insights for strategic optimization
    Data analysis Microsoft Power BI SQL Python
  • Gojek
    Data & Product Analytics
    E-COMMERCE
    January 2020 - May 2022 (2 years and 4 months)
    Jakarta, Indonesia
    Led the food delivery customer risk team and defined risk metrics and targets
    ● Designed and Implemented fraud checks on campaign life cycle by defining promo abuse monthly USD ~1.5M
    ● Improved merchant onboarding on the merchant app by running experiments(A/B testing) to improve onboarding time, MSAT
    score, and saving monthly USD 35K while not affecting risk metrics
    ● Implemented the similarity clustering, driver churn score and risk score to identify risky accounts ~56K monthly. Customers were
    validated for different privileges at multiple steps of the app journey based on the score and experiments
    ● Conducted interviews, mentored data analysts, and helped in initiative to improve employee engagement score
    Data analysis SQL Python google datastudio
  • Olacabs
    Analyst
    August 2018 - December 2019 (1 year and 4 months)
    India
    Detected fraud of different type and moved toward the approach of detecting fraud scenarios proactively
    • Involved in fraud life-cycle : built leading indicators dashboard to catch fraud at initial stages, framed real-time rules and built lag indicators dashboard to identify the effect of preventive measures
    • Rider life cycle and vendor life cycle was implemented to reduce fraud(calling, off-roading, penalisation etc.)
    • Involved in the designing and monitoring phase of the refund process, COD orders and offers/vouchers. Implemented checks at customer onboarding, voucher allocation and voucher redemption with help of the engineering team.

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Education

  • in Engineering: Electronics and Telecommunication
    Army Institute of Technology
    2015
    in Engineering: Electronics and Telecommunication
  • Certified Decision Scientist & 40+ Certifications
    Linkedin and Coursera
    Certified Decision Scientist & 40+ Certifications

Skill set (10)

Categories