Umayma Khan
New Delhi
Summary
Accomplished data scientist with a strong passion for uncovering meaningful insights and driving data-informed decisions in the healthcare domain. Known for solving complex problems, delivering measurable outcomes, and enhancing strategic initiatives through analytical rigor and cross-functional collaboration.
Overview
3
3
years of professional experience
Work History
Associate Data Scientist
Optum
07.2022 - Current
- Designed and deployed a predictive retention model for people suffering with Chronic diseases using algorithms like XGBoost, CatBoost, and logistic regression, successfully capturing 75% of lapsers within the top 5 deciles to enable targeted interventions.
- Explored and compared multiple modeling approaches to identify optimal solutions, applying advanced feature engineering and hyperparameter tuning to improve performance.
- Proficient in designing and implementing statistical models to extract patterns, uncover trends, and generate predictive insights that drive business decisions.
- Analyzed large-scale healthcare datasets using SQL, Python, NumPy, and Pandas to extract actionable insights and support strategic retention initiatives.
- Identified and addressed member pain points through data-driven analysis, improving understanding of customer experiences and informing retention strategies.
- Possess deep domain knowledge in healthcare data, including enrollment data, medical and pharmacy claims, AEP/OEP cycles, in-network profitability, and campaign-based insights.
- Conducted fairness assessments across sensitive attributes (e.g., age, gender, socioeconomic status), integrating bias mitigation strategies and ethical AI practices into the model lifecycle.
- Managed model governance and compliance, including documentation, validation, and submission of multiple models to the Machine Learning Review Board (MLRB).
- Collaborated seamlessly with Marketing, Campaigning, Finance, Dashboard, and Database Management teams to align analytical solutions with business goals.
- Presented model outcomes and insights to stakeholders using data visualization tools, enabling informed decision-making and strategic planning.
Education
B.Tech - Computer Science
Jamia Millia Islamia
New Delhi06-2022
Skills
- Python, SQL, NumPy, Pandas
- Azure Databricks, Hive, Airflow, Jupyter Notebook
- Supervised Learning
- Predictive Modeling
- Fairness & Bias Mitigation, HIPAA compliance
- Model Monitoring
- Data Analysis
- Statistical Inference, Multivariate Analysis
Timeline
Associate Data Scientist
Optum
07.2022 - Current
B.Tech - Computer Science
Jamia Millia Islamia
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