Aryan Rezanezhad
DATA ANALYST
+1 226-998-9661
Email:
Address:
201 Westfield Dr
London, Ontario, N6H 2M5
Date of Birth:
September 8th, 2000
Phone:
Hello! I'm Aryan Rezanezhad
Sep 2023 - Aug 2024
Teaching and Research Assistant
University of Western Ontario (London, ON)
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. Assisted with grading and conducted office hours for the Data Science Concepts course serving 120 students, collaborating with Professors Camila de Souza and Ashley McAlpine.
I'm a Data Analyst with an M.Sc. in Statistics from Western University, skilled in Python, R, SQL, and Azure. With a strong foundation in statistical analysis and data management, I transform complex datasets into actionable insights, create interactive Power BI and Tableau dashboards, and build efficient data pipelines that drive evidence-based decisions and measurable outcomes. Passionate about continuous learning, I stay current with industry trends and have earned multiple professional certificates while always exploring new tools and techniques.
EXPERIENCE
Sep 2024 - Now
Aksh Industries Inc (Mississauga, ON)
Data Analyst
Analyzes and cleans complex datasets using Python, R, and SQL to identify key drivers of oleochemical market prices. Achieves advanced forecasting by combining XGBoost, SARIMAX, MOGPTK, and deep learning models such as LSTM, incorporating residual layer modeling to enhance predictive accuracy. Develops software tools and Power BI dashboards that deliver actionable insights and enable continuous monitoring of model performance.
Apr 2021 - Aug 2023
Avihang Company
Data Analyst
Leveraged Python, SQL, and Azure to analyze and process data, supporting the company’s digital strategies and delivering actionable insights to executives. Collected, cleaned, and maintained health, treatment, and service-related data as part of a lead-collection initiative. Performed in-depth analysis of proprietary user data to detect fraudulent activity and implemented effective solutions to mitigate risk.
Nov 2019 - Apr 2020
Data Scientist
Taxi Maxim
Analyzed competitor pricing data using Power BI, Shiny (R), and Excel, driving a 7% revenue increase and supporting data-driven decisions with clear visualizations and reports. Identified and resolved database errors to maintain data integrity, conducted a taxi-service rate analysis that improved customer satisfaction by 28%, and developed geospatial databases with GIS tools while customizing maps and visualizations using Google Maps and OpenStreetMap (OSM).
Sep 2018 - Nov 2019
Intern & Junior Data Scientist
Danesh Parsian
Utilized SQL to extract and preprocess healthcare data, ensuring accuracy and consistency for analysis. Applied Python for data analysis, model development, and statistical reporting, generating actionable insights that enhanced operational efficiency and supported strategic planning for healthcare service delivery.
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
Programming & Data Handling
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Python (Pandas, NumPy, SciPy, Statsmodels, Requests)
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R (dplyr, tidyr, ggplot2, Shiny)
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SQL (PostgreSQL, ETL scripting, complex queries)
Strong foundation in data wrangling, cleaning, and transformation for large, multi-source datasets.
Machine Learning & Advanced Analytics
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Scikit-Learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, MOGPTK
Practical expertise in supervised/unsupervised learning, forecasting, and model evaluation for real-world business problems.
Data Engineering & Cloud Platforms
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Azure (Data Scientist Associate)
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AWS (data storage, compute services)
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SQL ETL (data pipelines, scheduling)
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GIS/Geospatial tools (OSM, Google Maps APIs)
Able to design scalable pipelines, integrate cloud solutions, and perform geospatial analysis for location-based insights.
Data Visualization & Business Intelligence
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Power BI, Tableau, Excel (advanced charts, PivotTables), Plotly, Matplotlib, Seaborn, ggplot2 (R)
Experienced in creating interactive dashboards and clear visual narratives to communicate insights.
Statistical Analysis & Modeling
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R, SAS, SPSS (hypothesis testing, experimental design, multivariate analysis, time-series methods)
Deep understanding of probability theory and statistical inference to support evidence-based decisions.
Tools, Collaboration & Documentation
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Git/GitHub (version control, collaborative workflows)
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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
Data Analysis
Statistical Modeling
Machine Learning
Predictive Analytics
Data Visualization
Business Intelligence
Transform large, complex datasets into actionable insights using advanced statistical techniques, rigorous data preparation, and exploratory analysis. Proficient in Python, R, and SQL, applying hypothesis testing, experimental design, and statistical inference to support evidence-based decisions.
Develop and implement scalable machine learning solutions to identify patterns and forecast trends. Experienced in model design, feature engineering, and evaluation, with deployment on cloud platforms such as Azure and AWS to address real-world business challenges.
Design and deliver interactive dashboards and clear visual narratives using Power BI, Tableau, and modern Python/R visualization libraries. Present complex findings in a concise, business-ready format that enables stakeholders to make data-driven decisions with confidence.
Certificates
