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Hi there! I'm Nasrin Altafi, a Data Analyst based in Toronto. I thrive on turning messy data into clear, reliable insights using SQL, Python, and Power BI. I’m passionate about data governance, accuracy, and collaboration across teams to ensure decision-making is based on solid information. With a background in applied mathematics and experience in academic research, I enjoy building data dictionaries, validating models, and delivering dashboards that tell compelling data stories. I’m always learning, eager to help organizations improve transparency, reliability, and usability of their data assets.…Hi there! I'm Nasrin Altafi, a Data Analyst based in Toronto. I thrive on turning messy data into clear, reliable insights using SQL, Python, and Power BI. I’m passionate about data governance, accuracy, and collaboration across teams to ensure decision-making is based on solid information. With a background in applied mathematics and experience in academic research, I enjoy building data dictionaries, validating models, and delivering dashboards that tell compelling data stories. I’m always learning, eager to help organizations improve transparency, reliability, and usability of their data assets.

Nasrin Altafi

Data Analyst, Data Scientist, Data Scraping Specialist, +2

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Hi there! I'm Nasrin Altafi, a Data Analyst based in Toronto. I thrive on turning messy data into clear, reliable insights using SQL, Python, and Power BI. I’m passionate about data governance, accuracy, and collaboration across teams to ensure decision-making is based on solid information. With a background in applied mathematics and experience in academic research, I enjoy building data dictionaries, validating models, and delivering dashboards that tell compelling data stories. I’m always learning, eager to help organizations improve transparency, reliability, and usability of their data assets.…Hi there! I'm Nasrin Altafi, a Data Analyst based in Toronto. I thrive on turning messy data into clear, reliable insights using SQL, Python, and Power BI. I’m passionate about data governance, accuracy, and collaboration across teams to ensure decision-making is based on solid information. With a background in applied mathematics and experience in academic research, I enjoy building data dictionaries, validating models, and delivering dashboards that tell compelling data stories. I’m always learning, eager to help organizations improve transparency, reliability, and usability of their data assets.

Available to hire

Hi there! I’m Nasrin Altafi, a Data Analyst based in Toronto. I thrive on turning messy data into clear, reliable insights using SQL, Python, and Power BI. I’m passionate about data governance, accuracy, and collaboration across teams to ensure decision-making is based on solid information.

With a background in applied mathematics and experience in academic research, I enjoy building data dictionaries, validating models, and delivering dashboards that tell compelling data stories. I’m always learning, eager to help organizations improve transparency, reliability, and usability of their data assets.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Research Scientist at Queen's University

January 31, 2025 - January 31, 2025

Applied statistical modeling, regression, classification, and anomaly detection to structured datasets, performing data analysis and model development to uncover patterns and support data-driven insights. Delivered Python-based instruction in Linear Algebra and Statistics across 15 courses. Analyzed educational datasets using SQL and Power BI; built dashboards to support strategic decision-making and improve teaching strategies.

Research Scientist at Simon’s Laufer Mathematical Institute (SLMath), Berkeley

May 31, 2024 - May 31, 2024

Designed and validated predictive models using Python and SQL; applied statistical inference and model evaluation. Improved algorithmic performance by 35% through algorithmic optimization techniques in Macaulay2, including simplifying computations and reducing runtime complexity. Collaborated on a topological data analysis project, integrating ML techniques for high-dimensional data interpretation.

Researcher at Copenhagen University

December 31, 2021 - December 31, 2021

Contributed to research in mathematical and computational topics; performed data analysis and project work within the institute.

Research Engineer at KTH Royal Institute of Technology

January 31, 2021 - January 31, 2021

Engaged in applied mathematics research engineering, developing computational workflows and collaborating across teams to advance project goals.

Research Scientist at Queen's University

January 1, 2025 - January 1, 2025

Applied statistical modeling, regression, classification, and anomaly detection on structured datasets; performed data analysis and model development to uncover patterns and support data-driven insights. Analyzed educational data using SQL and Power BI and built dashboards to support strategic decision-making.

Research Scientist at SLMath Simon's Laufer Mathematical Institute

May 1, 2024 - May 1, 2024

Designed and validated predictive models using Python and SQL; applied statistical inference and model evaluation. Improved algorithmic performance by 35% through optimization techniques in Macaulay2; collaborated on a topological data analysis project integrating ML for high-dimensional data interpretation.

Researcher at Copenhagen University

December 1, 2021 - December 1, 2021

Contributed to academic research in mathematics during a research residency.

Research Engineer at KTH Royal Institute of Technology

January 1, 2021 - January 1, 2021

Led research and development in applied mathematics and computational methods, collaborating across interdisciplinary teams to advance long-term projects.