data scientist, quant analyst

MEGAN FARAHANI

905-***-**** *********@***.**

LinkedIn GitHub

Digital Credential (Data Analysis)

Digital Credential (Data Science)

Profile

• Summary of Expertise: Data scientist and analyst with a strong foundation in mathematics and advanced data analytics. Experienced in Python, SQL, and machine learning, with a proven track record of designing predictive models and deriving actionable insights. Skilled in AWS Sagemaker, Tableau, and Power BI, with expertise in financial modelling and quantitative analysis to support business decision-making and risk management. Technical Skills

• Programming & Analysis: Python, MySQL, Statistical Analysis, Machine Learning, Data Validation, Data Manipulation, Data wrangling, Pandas, Scikit-Learn, NumPy, Matplotlib, and MATLAB.

• Data Visualization & Tools: Tableau, Power BI, VS Code, MS Office (Excel, PowerPoint, Word).

• Cloud-based & Data Management: AWS (S3, Sagemaker), Google Colab, Jupiter and SQL Notebook. Work

Data Analytics and Science Experience

Data Analyst UXIDEA, Newmarket, ON 01/2023 - present

• Analyze and visualize user engagement metrics using Tableau and Python to improve product design efficiency.

• Collaborate with cross-functional teams to assess the Future Skills Index, aiding client companies in enhancing workforce capabilities.

• Conduct statistical modelling to predict market trends in emerging technologies.

• Automate data workflows, reducing manual effort and accelerating project delivery. Data Analyst Internship Digital Nova Scotia, Halifax, NB 01/2024 - 05/2024

• Utilized Python in Google Colab for data analysis projects using analysis tools, earning a digital credential in data science.

• Enhanced database management skills through participation in specialized workshops and streamlining data processes. Research Data Scientist Verafin (Nasdaq), St John's, NL 12/2021 - 04/2022

• Optimized Python algorithm in VS Code, leveraging data science tools, improving efficiency and model accuracy.

• Designed and implemented an AML detection model, improving the algorithm performance and scalability

• Presented findings on Jupiter Notebook, enabling an informed decision-making process.

Banking and Financial Services Experience

Associate II BMO, Newmarket, ON 08/2024 - present

• Analyse customer data to identify opportunities for tailored financial solutions.

• Manage cash transactions and reconcile treasury activities to maintain compliance with regulatory standards. Customer Experience Associate TD Canada Trust, Mount Pearl, NL 01/2023 - 05/2024

• Processed financial transactions and identified customer needs to provide personalized financial solutions.

• Improved operational effectiveness through data-driven decision-making.

• Educated customers about investment and borrowing products, contributing to an increase in cross-selling. Education

• Master of Science, Memorial University of Newfoundland - St. John's, NL 09/2019 – 05/2022 Publication

• Paper: Andrea Burgess, Danny Dyer, Mozhgan Farahani, An Introduction to the Deduction Number, Elsevier, 2024

• Book: Mozhgan Farahani, A supplementary Calculus, Daneshyaran, 2015

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