I am Rasoul Baharifard, a data scientist with over a decade of experience turning large datasets into actionable business insights. I design and deploy end-to-end machine learning models that inform customer journeys, optimize marketing strategies, and support data-driven decision-making across marketing, IT, and finance teams. I take pride in translating complex analytics into clear recommendations for non-technical stakeholders and leading cross-functional collaboration to improve data quality and governance. My toolkit includes Python, R, SQL, SAS, Hadoop and Spark, as well as Power BI and Tableau for dashboards. I have hands-on experience with Azure AI, ETL pipelines, and building scalable data pipelines to integrate multiple data sources. I stay curious and continuously learn about ML, NLP, and advanced analytics to deliver high-impact solutions in financial services and professional services.

Rasoul Baharifard

I am Rasoul Baharifard, a data scientist with over a decade of experience turning large datasets into actionable business insights. I design and deploy end-to-end machine learning models that inform customer journeys, optimize marketing strategies, and support data-driven decision-making across marketing, IT, and finance teams. I take pride in translating complex analytics into clear recommendations for non-technical stakeholders and leading cross-functional collaboration to improve data quality and governance. My toolkit includes Python, R, SQL, SAS, Hadoop and Spark, as well as Power BI and Tableau for dashboards. I have hands-on experience with Azure AI, ETL pipelines, and building scalable data pipelines to integrate multiple data sources. I stay curious and continuously learn about ML, NLP, and advanced analytics to deliver high-impact solutions in financial services and professional services.

Available to hire

I am Rasoul Baharifard, a data scientist with over a decade of experience turning large datasets into actionable business insights. I design and deploy end-to-end machine learning models that inform customer journeys, optimize marketing strategies, and support data-driven decision-making across marketing, IT, and finance teams. I take pride in translating complex analytics into clear recommendations for non-technical stakeholders and leading cross-functional collaboration to improve data quality and governance.

My toolkit includes Python, R, SQL, SAS, Hadoop and Spark, as well as Power BI and Tableau for dashboards. I have hands-on experience with Azure AI, ETL pipelines, and building scalable data pipelines to integrate multiple data sources. I stay curious and continuously learn about ML, NLP, and advanced analytics to deliver high-impact solutions in financial services and professional services.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Data Scientist at Belron Canada, Montreal
February 1, 2019 - November 18, 2025
Developed end-to-end machine learning models and predictive analytics to enhance customer journey insights and optimize marketing strategies; created scalable models to predict customer behavior; automated data validation and anomaly detection; designed ETL pipelines to integrate data sources into Power BI dashboards; leveraged Azure AI for prototyping and deployment; collaborated with Marketing, IT, Finance to ensure data quality and governance.
Data Scientist at Intact Insurance, Montreal
January 1, 2019 - January 1, 2019
Applied SAS, R, Python and big data tools to underwriting, pricing, and claims models; built advanced pricing models using GBM, RF, and neural nets; automated data preprocessing and feature engineering; translated complex databases into actionable recommendations and communicated results to business audiences.
Data Scientist at TD Insurance, Montreal
April 1, 2018 - April 1, 2018
Developed predictive models (GLM, SVM, neural networks) to identify opportunities and reduce customer churn; advanced statistical analysis to support decision making; collaborated with data governance and IT to ensure data quality and integrity.
Data Scientist at SDI Marketing, Toronto
January 1, 2016 - January 1, 2016
Led quantitative analysis of large financial datasets using ML models (logistic regression, decision trees, clustering) and developed forecasting models to improve financial planning and strategic decision-making.
Data Scientist at Belron Canada
February 1, 2019 - November 18, 2025
Developed end-to-end machine learning models and predictive analytics to enhance customer journey insights and optimize marketing strategies. Created scalable models to predict customer behavior, automated data validation and anomaly detection, designed data pipelines and Power BI dashboards, and leveraged Azure AI for prototyping and production deployment. Collaborated with Marketing, IT, and Finance to ensure data quality and governance.
Data Scientist at Intact Insurance
January 1, 2019 - January 1, 2019
Utilized SAS, R, Python and big data tools (Hive, Spark, Cassandra) to apply advanced statistical and ML techniques in underwriting, pricing, and claims management. Built and maintained advanced pricing models, automated preprocessing and feature engineering, and translated complex data into actionable recommendations for business decisions.
Data Scientist at TD Insurance
April 1, 2018 - April 1, 2018
Developed predictive models (GLM, SVM, Neural Networks) to identify key opportunities and reduce customer churn. Enhanced data-driven decision-making and collaborated with data governance and IT to ensure data quality and integrity across projects.
Data Scientist at SDI Marketing
January 1, 2016 - January 1, 2016
Led quantitative analysis of large financial datasets using ML models, including forecasting to improve financial planning and strategic decision-making.

Education

PhD in Machine Learning at Polytechnique Montréal University
January 11, 2030 - January 1, 2024
Masters in Statistics at Laval University
January 11, 2030 - January 1, 2015
Masters in Mathematics at Isfahan University of Technology
January 11, 2030 - January 1, 2009
Bachelor in Mathematics at University of Ahvaz
January 11, 2030 - January 1, 2006
PhD in Machine Learning at Polytechnique Montréal University
January 11, 2030 - January 1, 2024
Master of Statistics at Laval University
January 11, 2030 - January 1, 2015
Master of Mathematics at Isfahan University of Technology
January 11, 2030 - January 1, 2009
Bachelor in Mathematics at University of Ahvaz
January 11, 2030 - January 1, 2006
PhD in Machine Learning at Polytechnique Montréal University, Montreal, Canada
January 11, 2030 - January 1, 2024
Masters in Statistics at Laval University, Quebec, Canada
January 11, 2030 - January 1, 2015
Masters in Mathematics at Isfahan University of Technology, Iran
January 11, 2030 - January 1, 2009
Bachelor in Mathematics at University of Ahvaz, Iran
January 11, 2030 - January 1, 2006
PhD in Machine Learning at Polytechnique Montréal University, Montreal, Canada
January 11, 2030 - January 1, 2024
Masters in Statistics at Laval University, Quebec, Canada
January 11, 2030 - January 1, 2015
Masters in Mathematics at Isfahan University of Technology, Iran
January 11, 2030 - January 1, 2009
Bachelor in Mathematics at University of Ahvaz, Iran
January 11, 2030 - January 1, 2006

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services, Media & Entertainment, Other, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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