You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Malt Strategy
NEW
AI Search
Malt welcome

Welcome to Sonu's freelance profile!

Malt gives you access to the best freelancers for your projects. Contact Sonu to discuss your project or search for other freelancer profiles on Malt.

Sonu Kumar data analystSK

Sonu Kumar

data analyst
  • Suggested rate
    €219 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Sonu's quote.
Location and workplace preferences
Location
Dubai City, United Arab Emirates
Remote only
Primarily works remotely
Verifications

Freelancer code of conduct signed

Read the Malt code of conduct
Verified email
Languages
Check out languages spoken by Sonu
Categories
These freelancer profiles also match your search criteria
Agatha FrydrychAF

Agatha Frydrych

Backend Java Software Engineer

Baptiste DuhenBD

Baptiste Duhen

Fullstack developer

Amed HamouAH

Amed Hamou

Senior Lead Developer

Audrey ChampionAC

Audrey Champion

Web developer

Signup to reveal
Skill set (9)
Industry fields of expertise
Catering
Consulting and Audits
E-commerce
Food and Beverage
Retail (Small Business)
Sonu in a few words
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)
Experience
  • Kitopi
    Data & Product Analytics
    E-COMMERCE
    May 2022 - Today (2 years and 11 months)
    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.
Recommendations
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