Chamma Sharma
Senior Data Scientist - @ SAP | Ex PayPal | Ex Standard Bank of SA| Ex Business Connexion| Ex CSC | Ex Accenture | Credit Risk | Customer Analytics | Forecasting | Recommendation Engine | Pricing | NLP | LLM | ML | AI |
- Role
- Data Scientist at SAP
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Chamma Sharma
Experienced Consultant with over 9 years of expertise in utilizing data analytics…
Experience
Data Scientist
May 2017 — Present · Chicago, IL, US
Led and managed the data science team, collaborating with cross-functional teams to deliver solutions that meet business requirements.• 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 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.• Designed and deployed a dynamic pricing model using Python and SQL, leading to a 12% increase in average revenue per unit and a 7% improvement in profit margins over 6 months • Developed campaign optimization models using cross-channel media and customer data to enhance customer acquisition and inform data-driven advertising strategies, resulting in improved ROI. • 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 an approval rate above 60%.• 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.
Education
Jawahar Education Societys A.C.Patil College of Engineering 17 Sector-4 Kharghar Navi Mumbai-410 210
Bachelor of Engineering (B.E.)
Governors State University
Master’s Degree
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