Payam Bahreyni

Data Analytics Specialist @Home Hardware Stores Limited

Waterloo, ON, CA

Automated data integration (ETL), model training, and inference pipelines using PowerShell, SQL Server, Azure Machine Learning and orchestration tools, reducing manual effort and improving scalability Developed an automated AI-driven text classification model (Python, scikit-learn, NLP) to classify unknown transactions (~$1.5B/year) into the company’s product taxonomy using ML and text mining techniques, achieving 99% accuracy improving downstream financial reporting Developed a time series (ARIMA) model to forecast store-level revenue, utilizing machine learning and time series analysis and forecasting techniques, achieving an average forecast error of 9.3% Performed EDA and root-cause analysis on retail performance trends, enabling proactive business response to emerging patterns Operationalized, developed, and deployed end-to-end machine learning pipelines to identify PRO (contractor) transactions leveraging Azure Databricks, PowerShell scripts, and SSIS packages

Johns Hopkins Bloomberg School of Public Health

Data Science Specialization, Data Science - Coursera

University of Arizona - Eller College of Management

Master of Business Administration (MBA), Finance, Entrepreneurship

Iran University of Science and Technology

Bachelor's degree, Computer Software Engineering

Sharif University of Technology

Master's degree, Computer Software Engineering