Data Analyst Analysis

MEGAN FARAHANI

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

LinkedIn GitHub CIFC Certified

Digital Credential (Data Analysis)

Profile

Data Analyst with a strong foundation in mathematics and hands-on experience in SQL, Python, and cloud platforms such as AWS. Completed a 20-week Data Analytics certification through St. Francis Xavier University, gaining applied expertise in data wrangling, EDA, Natural Language Processing (NLP), and cloud-based analytics. Proven ability to support AI/ML projects, especially in finance and AML domains, with advanced skills in Tableau, Power BI, and predictive modelling. Technical Skills

• Programming & Analysis: Python, MySQL, Statistical Analysis, Machine Learning (Scikit-learn) on Pururalsight, Data Validation, Data Manipulation, Data wrangling, Pandas, NumPy, Matplotlib, NLP, Seaborn, Exploratory Data Analysis

(EDA), Natural Language Processing, Data Modelling & Normalization.

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

• Cloud-based: AWS core services (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 aid 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

• Achieved top performance in the program while analyzing a large real-world dataset using Python and SQL.

• Applied data wrangling and EDA techniques in Python (Pandas, NumPy, Seaborn) to clean and explore complex data.

• Built and optimized SQL queries to extract, join, and aggregate data from relational databases.

• Performed NLP tasks to analyze unstructured text data and generate actionable insights.

• Demonstrated strong proficiency in cloud-based workflows, applying AWS fundamentals and understanding of cloud security and architecture principles.

Research Data Scientist Verafin (Nasdaq), St John's, NL 12/2021 - 04/2022

• Developed a novel graph-theory-based algorithm in Python for AML detection, iterating until its performance closely matched real-world outcomes.

• Enhanced model efficiency by 70% through optimization of algorithmic workflows and data structures.

• Reduced false positives by 13% via iterative refinement and validation against real-world transaction data.

• Collaborated weekly with the data science team, sharing code, insights, and progress to ensure best practices.

• Presented findings and model updates through Jupyter Notebook, enabling data-driven decision-making and continuous improvements.

Banking and Financial Services Experience

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

• Analyze 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

Contact this candidate