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Hi, I’m Afeefa Zaman, a Senior Machine Learning Engineer with a passion for turning data into practical, real-world solutions. I’ve built scalable ML systems in healthcare and fintech at Oscar Health, Altitude Tech, and Green Pearls, using Python, PyTorch, TensorFlow, and cloud-native tools on AWS, Azure, and Google Cloud. I enjoy collaborating with cross-functional teams to deliver impact and continuously optimize models in production. I thrive on challenging problems across the ML lifecycle—from data wrangling and feature engineering to deployment, monitoring, and cost optimization. I’m energized by building robust, explainable models and by creating delightful user experiences through data-driven decisions and innovative NLP, anomaly detection, and recommender systems.…Hi, I’m Afeefa Zaman, a Senior Machine Learning Engineer with a passion for turning data into practical, real-world solutions. I’ve built scalable ML systems in healthcare and fintech at Oscar Health, Altitude Tech, and Green Pearls, using Python, PyTorch, TensorFlow, and cloud-native tools on AWS, Azure, and Google Cloud. I enjoy collaborating with cross-functional teams to deliver impact and continuously optimize models in production. I thrive on challenging problems across the ML lifecycle—from data wrangling and feature engineering to deployment, monitoring, and cost optimization. I’m energized by building robust, explainable models and by creating delightful user experiences through data-driven decisions and innovative NLP, anomaly detection, and recommender systems.

Afeefa Zaman

Data Scientist, AI Engineer, Full Stack Developer, +1

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Hi, I’m Afeefa Zaman, a Senior Machine Learning Engineer with a passion for turning data into practical, real-world solutions. I’ve built scalable ML systems in healthcare and fintech at Oscar Health, Altitude Tech, and Green Pearls, using Python, PyTorch, TensorFlow, and cloud-native tools on AWS, Azure, and Google Cloud. I enjoy collaborating with cross-functional teams to deliver impact and continuously optimize models in production. I thrive on challenging problems across the ML lifecycle—from data wrangling and feature engineering to deployment, monitoring, and cost optimization. I’m energized by building robust, explainable models and by creating delightful user experiences through data-driven decisions and innovative NLP, anomaly detection, and recommender systems.…Hi, I’m Afeefa Zaman, a Senior Machine Learning Engineer with a passion for turning data into practical, real-world solutions. I’ve built scalable ML systems in healthcare and fintech at Oscar Health, Altitude Tech, and Green Pearls, using Python, PyTorch, TensorFlow, and cloud-native tools on AWS, Azure, and Google Cloud. I enjoy collaborating with cross-functional teams to deliver impact and continuously optimize models in production. I thrive on challenging problems across the ML lifecycle—from data wrangling and feature engineering to deployment, monitoring, and cost optimization. I’m energized by building robust, explainable models and by creating delightful user experiences through data-driven decisions and innovative NLP, anomaly detection, and recommender systems.

Available to hire

Hi, I’m Afeefa Zaman, a Senior Machine Learning Engineer with a passion for turning data into practical, real-world solutions. I’ve built scalable ML systems in healthcare and fintech at Oscar Health, Altitude Tech, and Green Pearls, using Python, PyTorch, TensorFlow, and cloud-native tools on AWS, Azure, and Google Cloud. I enjoy collaborating with cross-functional teams to deliver impact and continuously optimize models in production.

I thrive on challenging problems across the ML lifecycle—from data wrangling and feature engineering to deployment, monitoring, and cost optimization. I’m energized by building robust, explainable models and by creating delightful user experiences through data-driven decisions and innovative NLP, anomaly detection, and recommender systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at Green Pearls

January 1, 2020 - Present

Built a prediction model using XGBoost and PyTorch, analyzing 2M+ records; automated feature engineering pipelines with Apache Spark, cutting preprocessing time for real-time inference workflows; deployed a BERT-based NLP system to classify clinical notes; optimized AWS SageMaker inference costs using model pruning and ONNX runtime for high-volume APIs; led A/B testing framework development enabling validation of 12+ models in production and iterating 3x faster; mentored junior ML engineers on MLOps best practices (CI/CD, model monitoring), slashing deployment failures; migrated ML pipelines to Azure ML to improve scalability.

Machine Learning Engineer at Altitude Tech

January 1, 2020 - September 11, 2025

Designed anomaly detection system using Isolation Forest and graph networks, flagging numerous suspicious transactions with 98% precision; scaled credit risk models using TensorFlow and H2O.ai, processing 10TB of transactional data; containerized ML workflows with Docker and Kubernetes, reducing deployment time for cross-functional teams; built a real-time recommender engine using collaborative filtering, boosting user engagement by 25%; automated data drift detection with Evidently AI to maintain 90%+ accuracy post deployment; collaborated with DevOps to migrate ML pipelines to Azure ML, cutting cloud costs and improving scalability.

Senior Machine Learning Engineer at Green Pearls

January 1, 2020 - Present

Built predictive models using XGBoost and PyTorch to analyze 2M+ records, reducing hospital readmission rates. Automated feature engineering pipelines with Apache Spark; optimized real-time inference processing times for high-volume APIs. Deployed a BERT-based NLP system to classify clinical notes, achieving 9% F1-score improvement and reducing manual chart reviews by 70% for medical staff. Optimized AWS SageMaker inference costs using model pruning and ONNX runtime. Led development of an A/B testing framework enabling data scientists to validate 12+ models in production and iterate 3x faster. Mentored junior engineers on MLOps best practices (CI/CD, model monitoring) and improved deployment reliability. Collaborated with DevOps to migrate ML pipelines to Azure ML, cutting cloud costs while improving scalability.

Data Scientist at Oscar Health

December 31, 2018 - September 11, 2025

Developed a claims prediction model (Random Forest + SHAP) to identify billing anomalies. Created NLP chatbots (Rasa + SpaCy) to handle 80% of routine queries, reducing call center load. Streamlined ETL pipelines using Python and SQL, cleaning and standardizing records for analytics.

Data Scientist at Oscar Health

January 1, 2018 - September 11, 2025

Developed a claim prediction model using Random Forest + SHAP to identify billing anomalies; built NLP chatbots with Rasa and SpaCy to handle 80% of routine queries, reducing call center load; streamlined ETL pipelines with Python and SQL for analytics; tuned hyperparameters to improve generalization; visualized model performance in Tableau dashboards used by executives in quarterly strategy reviews.