About Me

•Data Analyst with 2+ years of industry and 2 years of research experience delivering data-driven projects •2+ years experience in Advanced Statistical Methods and predictive modeling using Machine Learning (ML) techniques with advanced SQL, Excel, and Python skills. •Professional experience with Big Data frameworks to process large amounts of data and build end-to-end ETL pipelines •Strong Statistical and Numeracy knowledge paired with advanced presentation skills sufficient to resolve complex business issues

Accomplishments

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Professional Experience
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Concordia University

Data Scientist, - Jan-2021 to Apr-2023

Data Scientist, Concordia University •Developed SQL scripts to perform data validation, cleansing, and transformation using join statements. •Implemented Machine learning and data analytics projects using the following Python libraries:(Pandas, NumPy, Matplotlib, SciPy, SciKit-Learn, SHAP, NetworkX, and Mesa) 01/2021 – 04/2023 Canada •Participated in data governance initiatives to ensure compliance with data privacy regulations and best practices for data management •Built an agent-based model to simulate collaborators' behavior in a science- technology environment using modularization techniques such as object- oriented programming or functional programming •Conducted data preprocessing and validation to ensure data quality and consistency across multiple data sources •Visualized data using Tableau and Power BI

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Coonal

Data Scientist - Jan-2018 to Dec-2020

•Developed complex SQL queries using Common Table Expressions (CTEs) to solve business problems and generate reports for management 01/2018 – 12/2020 Iran •Utilized SQL window functions to analyze large datasets and generate management reports •Created a dashboard that shows trends of different KPIs over time and Ad-hoc analyses using SQL in GCP, Python, and Tableau. •Formulated different digital campaign KPIs for leaders to compare different campaign performances. •Cleaned, analyzed, and interpreted the result and composed data analysis reports. •Developed and tested extraction, transformation, and loading (ETL pipeline) processes.

Education
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Information systems engineering,

Concordia University - Jan-2021 to Apr-2023

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Employment Feedback: Insights and Recommendations from Previous Roles

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