Aryan Rezanezhad
DATA ANALYST | Business Analyst
+1 226-998-9661
Email:
Address:
Toronto, ON
Date of Birth:
September 8th, 2000
Phone:
Hello! I'm Aryan Rezanezhad
I’m a Data Analyst with an M.Sc. in Statistics from Western University and hands-on experience in business intelligence, reporting, and analytical problem-solving. I build interactive dashboards in Power BI and Tableau, use SQL and Python to prepare, validate, and analyze data, and support business decision-making through KPI reporting, forecasting, and insight generation. With experience across market analytics, pricing, research, and social data projects, I bring a strong analytical foundation and a practical approach to transforming complex data into clear, actionable results.
EXPERIENCE
Sep 2024 - Now
Data Analyst
Aksh Industries Inc (Mississauga, ON)
Permanent Full-time, Hybrid
Sep 2025 - Mar 2026
Data Analyst
M2M Tech (Vancouver, BC)
Contract Part-time, Remote
May 2024 - Aug 2024
Research Assistant
Apr 2021 - Aug 2023
Data Analyst
Mar 2020 - Mar 2021
Pricing Analyst
Western University (London, ON)
Contract Part-time, In-Person
Avihang Company
Permanent Full-time, In-Person
Taxi Maxim
Contract Full-time, In-Person
EDUCATION
2023 - 2024
Master's Degree in Statistics
University of Western Ontario (London, ON)
Focused on advanced statistical modeling, machine learning, and data analysis. Completed projects involving predictive analytics, data visualization, and cloud-based solutions. Developed the R package ATE.ERROR to enhance treatment-effect estimates by correcting for measurement error and misclassification under the supervision of Prof. Grace Yi.
2018 - 2022
Shahid Beheshti University
Bachelor's Degree in Statistics
Built a strong foundation in probability, statistical inference, and data management. Applied R and Python to real-world datasets and research projects.
2014 - 2018
High School Diploma
Allameh Helli High School
Graduated with a concentration in mathematics and science, developing early skills in quantitative analysis.
PROJECTS
Developed the R package ATE.ERROR to improve average treatment effect estimates by addressing measurement error and misclassification.
Survival Analysis of Lung Dataset
Conducted survival analysis on advanced lung cancer patients using Kaplan-Meier and Cox models.
Prediction of Income & Expenditure
Used Logistic Regression, KNN, Decision Trees, Random Forests, and Neural Networks to predict family income and expenditure.
Developed a linear regression model to predict daily bike rentals using environmental and seasonal variables.
Bayesian Network Tabu Algorithm
Implemented a Bayesian Network model using the Tabu algorithm to explore causal relationships.
SKILLS
Business Intelligence & Reporting
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Power BI (DAX, Power Query), Tableau, Excel
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Power Pivot, PivotTables, XLOOKUP, INDEX-MATCH
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KPI reporting, business reporting, dashboard development
Experienced in building interactive dashboards and reporting solutions that translate complex data into clear business insights for stakeholders.
Programming, Querying & Analytics
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SQL, Python, R
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Pandas, NumPy, Matplotlib, Seaborn
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Scikit-learn, Jupyter Notebook
Proficient in using programming and analytics tools to query data, perform advanced analysis, and develop practical data-driven solutions.
Automation, Platforms & Tools
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Power Automate, Power Apps (basic)
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Microsoft Azure, AWS (familiar), Databricks (familiar)
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Looker Studio, Shiny
Comfortable working with modern data platforms and automation tools to streamline processes, improve reporting workflows, and support business operations.
Data Analysis & Statistical Methods
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Exploratory Data Analysis (EDA), statistical analysis
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Hypothesis testing, A/B testing, data validation
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Data cleaning, transformation, and quality checks
Strong analytical background in identifying trends, validating assumptions, and preparing high-quality data to support reliable decision-making.
Data Engineering & Database Design
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ETL pipelines, API-based ingestion
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PostgreSQL, MySQL, SQL Server
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Data modeling, schema design, joins
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Star schema, fact and dimension tables, ETL vs ELT
Capable of designing structured data workflows and scalable database solutions to support analytics, reporting, and operational efficiency.
Tools, Collaboration & Documentation
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Git/GitHub (version control, collaborative workflows)
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Jira
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LaTeX
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Markdown, Quarto (R)
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Jupyter Notebook
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Microsoft Office Suite (Word, PowerPoint, Excel, Visio)
Effective communicator with strong project management, analytical thinking, and cross-functional team skills.
EXPERTISE
Power BI, Tableau
Business Intelligence
Python
Data Analysis
SQL
Data Management
Built end-to-end dashboards and reporting solutions using Power BI and Tableau, with hands-on experience in data preparation, KPI development, data modeling, and interactive visualization. Skilled in Power Query for transformation, DAX for calculated measures and business logic, and dashboard design for presenting complex information in a clear, decision-ready format for stakeholders.
Built analytical workflows in Python for data cleaning, transformation, exploratory analysis, and statistical evaluation across structured datasets. Skilled in using Pandas and NumPy for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for analytical and predictive tasks. Comfortable using Python to uncover trends, validate results, and support practical business problem-solving through data.
Worked extensively with SQL to query, clean, validate, and transform data for reporting and analysis. Skilled in writing joins, aggregations, subqueries, and structured queries across PostgreSQL, MySQL, and SQL Server, with a solid understanding of schema design, data modeling, and ETL workflows. Able to prepare reliable, analysis-ready datasets that support dashboards, business reporting, and decision-making.
Certificates
