Data Scientist

Chamma Sharma

Professional Summary

Senior Data Experienced Data Scientist with 9 + years of expertise in leveraging data analytics, machine learning, and statistical modeling to drive business insights and solutions. Skilled in handling complex datasets, developing predictive models, and delivering impactful results across diverse industries and regions including US, South Africa and India. Extensive expertise in end-to-end machine learning pipelines, covering data preprocessing, feature engineering, feature selection, advanced ML algorithms, hyperparameter tuning, testing, deployment, and performance monitoring. Collaborated effectively in multi-team environments to ensure seamless coordination and achieve on-time, accurate project delivery.

High-impact initiatives:

Forecasting Recommendation engine Lifetime value Fraud detection Churn prediction Product consulting Strategy consulting Credit Risk consulting Lead prioritization Customer Analytics Application/Behavior/collection/recovery scorecard HealthCare

Work History

SAP Data Scientist 22 May 2017 – 31 May 2024

IL, U.S.

• Development and validation of application, behavior, and collection scorecards, NTC, for consumer loans

(PL, CC) and MSME, resulting in a 30% reduction in default rates, keeping approval rate above 60%.

• Leading Data science team (Lead prioritization, campaign analytics).

• Churn Prediction - Reduced the churn rate by 60% for a leading telecom service provider.

• Lifetime Prioritization – Improved customer retention by 5 % which contributed to 40 % increase in profit around $150 million and also minimized the need for expensive customer acquisition campaigns.

• Recommendation Engine – Increased sales by 30-32 % by more customer engagement

• Propensity Model – Increased the conversion rate by 10%, resulting in higher cross-sell revenue.

• Implemented demand forecasting models, improving data forecast accuracy by 45%. Infobahn Softworld Data Scientist Consultant 22 Feb 2016 – 16 May 2017 CA, U.S.

• Worked on Generic Fraud score to predict Fraud transaction.

• Built risk analytics model using Feature Universe to Improve payment authorization rate of valid transactions and to reduce the fraud rate extent about 20 percent.

• Created and deployed a real-time recommendation engine for PayPal merchants, enabling personalized product suggestions based on user behavior. This engine was used to recommend related or complementary products, driving upsell and cross-sell opportunities, and leading to a 25% increase in revenue. Business Connexion Data Scientist Team Lead 01 Aug 2013 – 13 Nov 2013 Midrand, South Africa

• Provided guidance and mentorship to the team by offering consulting services to identify business growth.

• HealthCare - Models for blood glucose levels and heart rate variability (HRV) Prediction Naperville, IL 630-***-**** *************@*****.*** https://www.linkedin.com/in/chamma-sharma/ Logikal Consulting Data Science Consultant 03 Sept 2012 – 31 July 2013 Johannesburg, South Africa

• Worked on various Risk Analytics strategy for well-known bank of South Africa reducing its default rate by more than 50 %, keeping approval rate above 60%

• Application Scorecard/Behavior Scorecard/Collection Score card/NTC/ECL: Development and Validation Creating and validating scorecards for consumer durable loan, unsecured personal loan, credit card, unsecured MSME loan etc. NTC model for new customers. Used Reject referencing to bring more accuracy to the model.

• Credit card customer Strategy Intervention – Built array of machine learning products to manage credit card customers. Credit limit increase/Credit limit decrease, transactor/revolver classification

• Market Campaign strategy optimization for best ROI

• Churn Prediction

CSC Data Scientist 17 May 2010 – 29 Mar 2012

Mumbai, India

• EDA using Chi-Square Test, Anova, Z-Test, T-Test, Pearson’s Correlation Test

• Recommendation Engine

• Health Care Data Analysis

• A/B Stress testing

• Implemented demand forecasting models and also won Innovation award’ for the same project

• Model monitoring

Accenture Software Engineer 18 June 2007 – 30 Apr 2010 Mumbai, India

• Worked as a shadow resource and assist in built models for the following

• EDA

• Lead Prioritization

• Propensity/Reengagement Model

• Strong exposure to data preparation for model development (application & performance data)

• Exposure to trees in R Part

Educational Credentials

M.S. in Computer Sc. Governors State University, USA 08/2014 – 12/2015 GPA: 4.0/4.0

B.E. in Computer Sc. A.C. Patil college, Mumbai University 08/2002 – 06/2007 First Class Skills

Preparing Reports, Dashboards, & Presentations

Compiling & Analyzing Large amounts of Data

Collecting Project Specifications, Riska & Constraints

Conducting Statistical Analysis to Achieve Objectives

Enabling Data-Driven Decision-Making

A/B testing

Developing Machine Learning Models

Designing Implementing Testing Methodologies

Cross-Functional Collaboration

Designing Business Workflows

Statistical Modeling

Data Analytics

Technical Skills

R, Python, Pandas, NumPy, Scikit-Learn, EDA, PySpark, SciPy

Database – MySQL, SQL Server, Redshift, Snowflake

Other – Tableau, Power BI, Microsoft Office Suite, GCP, Git, Airflow, AWS EC2, Azure, Databricks, RestAPI, Flask and FastAPI, IOT data, Geo Spatial data

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