Hemanthkumar E

Data Scientist

Mumbai, Maharashtra, India6 yrs 7 mos experience

Key Highlights

  • Expert in data science and predictive modeling.
  • Proven track record in improving financial metrics.
  • Strong background in machine learning applications.
Stackforce AI infers this person is a data science expert with a focus on Fintech and SaaS industries.

Contact

Skills

Core Skills

Data AnalysisPredictive ModelingSqlMachine Learning

Other Skills

Feature EngineeringGap AnalysisXGBoostMicrosoft OfficeMicrosoft ExcelMicrosoft WordMicrosoft PowerPointr programmingTableauHadoopDeep LearningBig Data AnalyticsA/B TestingLogistic RegressionK-Nearest Neighbors (KNN)

Experience

6 yrs 7 mos
Total Experience
1 yr 5 mos
Average Tenure
10 mos
Current Experience

Meesho

Data Scientist 3

Aug 2025Present · 10 mos · Bengaluru, Karnataka, India · On-site

Navi

Data Scientist

Aug 2024Aug 2025 · 1 yr · Greater Bengaluru Area · On-site

Dream11

Decision Scientist

Mar 2022Aug 2024 · 2 yrs 5 mos

Mastercard data & services

2 roles

Consultant

Jun 2021Mar 2022 · 9 mos

  • 1) Contactless Card Adoption Strategy
  •  Devised strategies for implementing the contactless card adoption for one of the banks in US
  •  Engineered 200+ features based on RFM variables; calculated propensity score for each cardholder
  •  Observed a net spend lift of $280 per card per month leading to substantial additional revenue
  • 2) Approval Rate Improvement Project
  •  Worked for one of the top acquirer banks in Australia to improve approval rate & reduce fraud rate
  •  Worked on preparing the data, performed gap analysis, opportunity sizing & final recommendation.
  •  Helped increase approval rate decrease fraud rate; sell some of the flagship products of MasterCard

Intern

Dec 2020May 2021 · 5 mos

Infosys

Associate Analyst - Data science

Oct 2017May 2019 · 1 yr 7 mos · Bengaluru, Karnataka, India

  • Primarily worked on marketing analytics project
  • 1) Customer lifetime value modeling
  •  Built a ML model to predict customer spend for 2 million customers for next three months
  •  Engineered 30+ features based on RFM analysis, customer profile, events and browsing activity
  •  Built two step model ; one using Pareto/Negative binomial distribution for customer attrition and
  • Second using Xgboost model for customer value prediction using different purchase frequency
  • 2) Sales Uplift modeling
  •  Predicted sales uplift for two promotional offers by assigning uplift score for each of the customer
  •  Assigned 2 classes for each customer based on control and treatment group and applied XGBoost
  •  Achieved 10% Incremental Response Rate(IRR) & Net Incremental Revenue(NIR) of $million

Education

Indian Institute of Technology, Kharagpur

Post graduate diploma in business analytics — data science

Jan 2019Jan 2021

Indian Institute of Management, Calcutta

post graduate diploma in business analytics — Data science

Jan 2019Jan 2021

Indian Statistical Institute, Kolkata

post graduate diploma in business analytics — data science

Jan 2019Jan 2021

Amrita Vishwa Vidyapeetham, Coimbatore

Bachelor of Technology (B.Tech.) — Mechanical Engineering

Jan 2013Jan 2017

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