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Machine Learning Data Science

Location:
Germantown, MD
Salary:
50
Posted:
July 14, 2025

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Resume:

Sara Pournourbakhsh - Sr. Data Scientist

Boyds, MD 443-***-**** *********@*****.***

LinkedIn Kaggle GitHub

EDUCATION & CERTIFICATIONS

M.S. Data Science & Machine Learning Engineering, UMBC - Present (GPA: 3.85) Professional Certificate in Data Science & Business Analytics, UMD - 2024 M.S. & B.S. in Agriculture Engineering, Azad University Databricks Accredited Generative AI Fundamentals (2024) Apache Spark (TM) Programming with Databricks (2023) TECHNICAL SKILLS

Languages & Libraries: Python, PySpark, SQL, R, Scikit-learn Big Data & Cloud: Databricks, Azure Data Factory, AWS, Hadoop, Parquet ML & AI: Regression, Random Forest, Gradient Boosting, SHAP, SVM, MLOps Visualization: Tableau, Power BI, Matplotlib, Seaborn Tools: Git, Docker, Jupyter, Azure DevOps, CI/CD Pipelines EXPERIENCE

Independent Data Science Consultant Remote 2022-2024

- Designed and deployed ML models in healthcare and fintech sectors using Python, PySpark, and Databricks.

- Built automated data pipelines using Azure Data Factory and deployed end-to-end models with CI/CD.

- Applied SHAP and LIME for model interpretability and stakeholder communication.

- Collaborated across teams to streamline data access, ensure governance, and improve tooling. Data Engineer / Scientist Iranian E-Pack Path 2018-2022

- Led development of data dashboards and ML models to identify business opportunities.

- Automated data workflows with Python and improved data access with cloud solutions.

- Acted as internal consultant to connect data engineering with strategic analytics teams. Data Analyst Pasargad Electronic 2014-2018

- Built predictive models for EMR data, enabling clinical teams to improve decisions.

- Supported advanced analytics using SQL, Python notebooks, and visualization tools. PROJECTS

Heart Disease Prediction:

- Logistic regression and gradient boosting models with SHAP interpretability. Customer Churn Prediction:

- Deep learning and logistic regression models with class balancing and business metrics. Sara Pournourbakhsh - Sr. Data Scientist

Health Data Pipeline on Databricks:

- Developed scalable PySpark ingestion pipeline using Azure + Databricks with Parquet optimization. HIGHLIGHTS

- 8+ years in data science, ML, and analytics across healthcare, finance, and telecom.

- Proven ability to build and deploy ML models in MLOps and cloud-native environments.

- Hands-on experience with Azure Data Factory, Databricks, and enterprise ML pipelines.



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