Megan Farahani

• Orchestrated peer collaboration workshops, enhancing team proficiency in query writing by 25%.
• Honed SQL skills, achieving a perfect score in advanced database projects.
• Fostered proficiency in Python, earning data analysis badge.

• Processed over 1,000 financial transactions monthly, contributing to a 30% client retention.
• Executed data-driven decision-making processes, resulting in a 30% reduction in operational inefficiencies.
• Consulted 300 customers, pioneering a customer satisfaction score of 98%.

• Created a new model in graph theory, leading to 100% success in successful research proposals and paper publication.
• Generated a proposal aligning with thesis ideas, winning an internship opportunity at Verafin.
• Assisted students in solving math problems and presented detailed growth trend reports on student grades, maximizing the maintenance of 20% of academic achievements across departments.
• Taught Algebra, with an 80% satisfaction rate in the D2L survey.

• Conducted comprehensive research and data analysis and developed algorithms, launching a novel model in AML and applying firefighter theory and Python codes.
CERTIFICATES Data Analysis, St. Francis Xavier University, 2024 - https://lnkd.in/eChiXfZ5 Java Programming: Solving Problems with Software, Duke University, 2022 Programming Functions with JavaScript, HTML, and CSS, Duke University, 2022 Machine Learning, Stanford Online, 2021 Matlab, University of Science and Technology, 2019
• Edited VS Code to optimize algorithms and upload scripts in the S3 bucket, enhancing 13% efficiency and accuracy.
• Spoke in weekly meetings with the Data Science and Mitacs team, improving collaboration and data-driven decision-making across projects.

• Collected, cleansed, transferred and provided structured data modelling and analyses.
• Visualized data to communicate business insights effectively.
• Created monthly dashboard in Excel using pivot table and VLOOKUP, boosting 30% time efficiency.
• Wrote SQL queries, strengthening productivity by 15%.