Available to hire
I’m Nastaran Rezaee, a data scientist and research data analyst with a PhD in Physics, and over five years of experience in machine learning, predictive analytics, and intelligence-oriented data modeling. I specialize in analyzing large, complex datasets to identify trends, patterns, and correlations that support evidence-based decision making.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
Work Experience
Research Data Analyst at St. Michael Hospital
February 1, 2025 - PresentIntegrated large multi-site clinical, imaging, and physiological datasets, ensuring data quality and consistency across structured and unstructured sources. Built automated QC and analytics pipelines (Python, SQL, MATLAB) for data validation, harmonization, and outcome modeling. Applied Bayesian and regression models to assess treatment effects and health-behavior relationships, generating actionable insights for clinicians. Delivered interactive dashboards and reports (Power BI) to track and monitor data trends, and support evidence-based decisions.
Data Consultant at EnsembleHQ
October 1, 2023 - August 1, 2024Designed Power BI dashboards comparing data from multiple marketing campaigns (e.g., demographics, website visits, logins, registrations) to track KPIs and optimize business strategies. Transformed, cleaned, and analyzed data from various sources, including Snowflake and GCP. Delivered actionable insights via visualizations, improving business performance awareness.
Data Consultant at EY
May 1, 2022 - August 1, 2022Collaborated with government clients to advance gender equality through data analytics, accelerating progress. Enhanced ETL processes, boosting data analysis capacity by 37%. Built impactful Power BI dashboards to deliver key insights for informed policy decisions.
Clinical Data Scientist at PerfusionMap
January 1, 2022 - May 1, 2022Developed Tableau dashboards to present complex hemodynamic data, improving patient care decisions in ICU settings. Explored artificial neural networks (ANNs) for classifying hemodynamic states from ICU data; transitioned to binary logistic regression models due to limited sample size, achieving interpretable and stable results. Applied signal and image processing techniques for analyzing cardiovascular data and supporting diagnostic interpretation. Differentiated three types of shock using statistical methods and achieved high precision in predicting the probabilities of these shocks from real-time monitoring.
Education
Doctor of Philosophy in Mechanical Engineering at Swinburne University of Technology, Melbourne, Australia
July 1, 2017 - April 1, 2023Master of Philosophy in Astrophysics at The University of Melbourne, Melbourne, Australia
April 1, 2012 - July 1, 2015Master of Science in Physics at Azad University, Central Tehran Branch, Tehran, Iran
September 1, 2008 - August 1, 2010Bachelor of Science in Physics at Azad University, Science and Research Branch, Tehran, Iran
September 1, 2002 - February 1, 2007Qualifications
The complete SQL Bootcamp
January 11, 2030 - December 16, 2025Power BI Top Skills
January 11, 2030 - December 16, 2025Tableau Essential Training
January 11, 2030 - December 16, 2025Introduction to Cloud Computing on AWS
January 11, 2030 - December 16, 2025Google Analytics
January 11, 2030 - December 16, 2025Microsoft Azure Fundamentals
January 11, 2030 - December 16, 2025Git & GitHub - The Practical Guide
January 11, 2030 - December 16, 2025Machine Learning and Data Science in Python
January 11, 2030 - December 16, 2025Data@ANZ 2021 Virtual Experience (Forage)
January 11, 2030 - December 16, 2025Industry Experience
Healthcare, Government, Education, Professional Services, Software & Internet
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Hire a Data Scientist
We have the best data scientist experts on Twine. Hire a data scientist in Toronto today.