About Vandana
Data Scientist with 6 years of experience and a strong track record of implementing statistical machine learning and deep learning solutions to improve business performance across various industries like health analytics, gambling and sports betting, banking and industrial automation. Key achievements include pioneering the integration of machine learning models into core operations, driving a 70% increase in customer retention with a churn prediction model, optimized cash flow by 60% through deposit forecasting and boosted fraud detection
accuracy by 80% in sports betting
English
Native or bilingual
Can work on-site
United Arab Emirates (up to 50km)
Experience
- DenuoSource India Pvt Ltd,Data ScientistAugust 2024 - Today (1 year and 10 months)• ● Built risk-adjusted cost-of-care models (CPE, LOS, CPBD) using PySpark to define expected utilization benchmarks, enabling payer negotiation rights and improving negotiation outcomes by ~11%.• ● Design actual vs. expected benchmarking logic to quantify provider inefficiency, generate efficiency scores, and identify 22% high cost outlier claims, supporting rate revisions and selective contracting.• ● Developed 30-day readmission risk classification models with 87% precision, supporting contractualperformance clauses and value-based care enforcement.• ● Engineered 20+ clinical and demographic features (ICD groupings, chronic flags, severity metrics, MDCs), strengthening risk adjustment fairness and driving 12–15% model performance uplift.• ● Automated provider-level aggregations and scorecards across 2,000+ hospitals, reducing manualreporting effort by 80% and delivering negotiation-ready insights for payer and contracting teams.
- 10bet,Machine Learning EngineerJune 2023 - May 2024 (11 months)• ● Successfully pioneered the integration of 6 machine learning models into core business operations• ● Used EvalML to develop churn prediction model and anticipate churn rates based on varying activity lengths and identify players at risk of churn to inform targeted engagement increasing retention by 70%• ● Leveraged XGBoost to construct a predictive model, forecasting deposits for a 90-day period based on initial 7 days of activity helping strategic player acquisition decisions and resulting in a substantial 60% increase in revenue generation opportunities• ● Employed RandomForest algorithm to detect sports fraudsters based on initial 10 sports bets helping to bolster platform security and trust, successfully reducing false negatives by 80% as a direct result
- Paymaya,Data Science ConsultantSeptember 2022 - April 2023 (7 months)Maya is the all-in-one money platform that is bringing Filipinos bolder ways to master their money.• ● Managed entire lifecycle of Machine Learning models including data analysis and pipeline development• ● Analyzed/preprocessed bank transaction data to be used in the creation of fraud detection models• ● Developed and hyper-tuned supervised ML models with Feedzai to detect cross-channel fraud with an accuracy of 80%• ● Ensured model precision and identified opportunities for improvement through weekly model evaluation• ● Implemented an Airflow DAG to automate the process of generating training and test datasets for modeling (involves data extraction from Redshift using custom SQL scripts, transferring data to an AWS S3 bucket, preprocessing with SageMaker and uploading back to AWS), this streamlined workflow not only reduced manual effort by 50% but also ensured timely execution triggered by Airflow
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Education
- Bachelor of EngineeringJawaharlal Nehru Engineering College2017Bachelor of Engineering — Computer Science,
- Bachelor of Engineering in Computer Science and EngineeringGovernment Polytechnic Aurangabad2014Diploma — Computer Engineering,