Rasoul Baharifard
I am Rasoul Baharifard, a data scientist with over a decade of experience turning large datasets into actionable business insights.
About
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.
- 6 years' experience
- Joined November 2025
Skills· 17
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Financial Services
- Professional Services
- Media & Entertainment
- Other
- Education
More experts in Montréal, Canada
Work experience· 8 roles
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.
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.
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.
Education· 16
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