Data Scientist

Chamma Sharma

Professional Summary

Experienced Senior Data Scientist with over 9 years of expertise in utilizing data analytics, machine learning, and statistical modeling to generate business insights and drive solutions. Skilled in handling large, complex, messy, unstructured datasets, developing predictive models, and delivering impactful results across diverse industries and regions including US, South Africa and India. Collaborated effectively in multi-team environments, stakeholders 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 Credit Risk consulting HealthCare Lead prioritization Customer Analytics Application/Behavior/collection/recovery scorecard Skills

Preparing Reports, Dashboards, & Presentations

Compiling & Analyzing Large amounts of Data

Collecting Project Specifications, Risk & Constraints

Conducting Statistical Analysis to Achieve Objectives

Natural Language Processing

Enabling Data-Driven Decision-Making

A/B testing

Presenting complex findings to Non-Technical Audience

Developing Machine Learning Models

Designing Implementing Testing Methodologies

Cross-Functional Communication & Collaboration

Designing Business Workflows

Automation with LLM

Statistical Modeling

Data Analytics

Monitoring and Maintenance

Technical Skills

R, Python, Pandas, NumPy, Scikit-Learn, EDA, PySpark, SciPy, Flask, TF-IDF, NLTK

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

Work History

SAP Data Scientist 22 May 2017 – 31 May 2024

IL, U.S.

• Led and managed the data science team, collaborating with cross-functional teams to deliver solutions that meet business requirements.

• Developed and validated application, behavior, and collection scorecards, along with NTC for consumer loans

(PL, CC), leading to a 30% reduction in default rates while maintaining approval rate similar to Market rate.

• 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. Naperville, IL 630-***-**** *************@*****.*** https://www.linkedin.com/in/chamma-sharma/

• 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 forecasting models using time series ARIMA, Prophet and regression models, improving data forecast accuracy by 45%.

• Utilized NLP and data mining techniques to create a predictive model that ranks resumes according to their relevance to a given job description. Input: Resumes in text format and a job description. Output: A ranked list of resumes, with the most relevant ones appearing at the top.

• Be involved in the end-to-end implementation lifecycle of a machine learning model, from engaging with stakeholders and gathering data to data preparation, modeling, monitoring the model's performance over time, and following up with model adoption.

• Designed and deployed an automation for Two-Wheeler Loan Operations using Gemini 1.5 Flash (LLM), reducing processing costs by 90% in a high-volume, low-margin loan portfolio. Infobahn Softworld - Paypal Data Scientist Consultant 22 Feb 2016 – 16 May 2017 CA, U.S.

• Worked on developing a generic fraud score to predict fraudulent transactions, utilizing geospatial data and other alternative data sources where applicable.

• 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.

• Developed and deployed a real-time recommendation engine for PayPal merchants, providing personalized product suggestions based on user behavior. The engine recommended related or complementary products, driving upsell and cross-sell opportunities, resulting in a 25% revenue increase. 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

• Utilized synthetic data to address privacy concerns in healthcare. Logikal Consulting - Bank 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

• 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

• Exposure to trees in R Part

Educational Credentials

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

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

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