Aryan Rezanezhad
DATA 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
Aksh Industries Inc (Mississauga, ON)
Data Analyst
Permanent Full-time
Hybrid
Sep 2025 - Mar 2026
Data Analyst
Contract Part-time
Remote
Focus on using SQL to extract, clean, transform, and analyze large oleochemical market datasets, helping identify pricing trends, key market drivers, and the impact of currency fluctuations on market movements. Develop and maintain Power BI dashboards and KPI reports to provide leadership with clear, actionable insights for planning and strategic purchasing decisions. Support forecasting initiatives using Python, working with models such as XGBoost, SARIMAX, LightGBM, MOGPTK, and LSTM to analyze pricing patterns and support forward-looking analysis. Also improve team efficiency by building reusable analytics tools, structured reporting workflows, and Power Automate solutions to streamline recurring processes and reduce manual effort.
M2M Tech (Vancouver, BC)
Contributed to the Data Analysis Team for the Ontario Service System Manager (SSM) Data Platform, using Python to analyze homelessness and housing-related data across Ontario. Supported indicator research, data gap assessment, and data standardization across 47 Service System Managers, and built models including Ridge, Lasso, and Neural Networks with and without PCA. Developed Tableau dashboards to improve visibility into key social indicators and support data-informed decision-making.
May 2024 - Aug 2024
Research Assistant
Contract Part-time
In-Person
Western University (London, ON)
As a Research Assistant in the Department of Statistics and Actuarial Science, I was engaged in developing an R package aimed at Weighted casual inference methods with mismeasured covariates and miclassified outcomes. This project forms the basis of my thesis and involves extensive programming, data analysis, and collaboration with faculty to ensure the package's applicability in real-world research scenarios.
Apr 2021 - Aug 2023
Avihang Company (Tehran, Iran)
Data Analyst
Permanent Full-time
In-Person
Supported the company’s digital strategy by transforming data into actionable insights and clear management reporting. Collaborated with internal teams and external stakeholders, including the Health Insurance Organization, to collect, clean, and analyze health-related and operational data using Python, SQL, and Azure. Built dashboards and performance reports with Tableau, Shiny, and Excel to monitor digital service performance and support business decisions. In addition, analyzed user activity data for fraud detection, helping identify anomalies, improve risk controls, and strengthen data reliability.
Sep 2021 - Feb 2022
Research Assistant
Contract Part-time
In-Person
Shahid Beheshti University (Tehran, Iran)
Conducted an independent research project in Small Area Estimation, using a Norwegian forest dataset to estimate the mean of key parameters for smaller population areas under faculty supervision. I was responsible for the full research process, including data analysis, applying statistical methods, and interpreting the results. Alongside this work, I translated Introduction to Small Area Estimation Techniques: A Practical Guide for National Statistics Offices, which further strengthened my understanding of the subject and my ability to communicate technical concepts clearly.
Mar 2020 - Mar 2021
Pricing Analyst
Contract Full-time
In-Person
Taxi Maxim Company (Tehran, Iran)
Supported pricing strategy and business decision-making by analyzing competitor and internal data. Developed dashboards and reports using Power BI and Excel, improved data accuracy, and contributed to service rate and geospatial analysis using Google Maps, OpenStreetMap, and GIS tools.
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
