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Frances FerrabeeFF
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Frances Ferrabee

@francesferrabee

Data scientist trained at University of Padua, researching 3D vision encoders for scene understanding.

Italy
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At GS1 Canada, I analyzed barcode data across databases using SQL and Databricks. I also developed a Python tool to enhance forecasting of financial and sales data, and further developed a machine learning process for subscriber name matching.

At RLB LLP, I created Power BI reports and dashboards using SQL, and developed a Power Automate process to move online form information into SQL databases. I also designed data pipelines connecting online forms, SQL, and Power BI.

At the University of Padua, I researched 3D vision encoders for my master’s thesis, “Probing diverse 3D encoder representations for scene understanding.” I designed and applied machine learning models with Scikit-learn, PyTorch, and TensorFlow, including neural networks for computer vision and natural language processing.

Experience

Work history, roles, and key accomplishments

GS1 Canada logoGC

Data Science Analyst

GS1 Canada

May 2022 - Sep 2024 (2 years 4 months)

Analyzed barcode data by loading, transforming, and joining multiple tables across databases in SQL and DataBricks. Developed a Python tool for senior management to enhance forecasting of financial and sales data, and maintained Power BI reports for business insights.

RL

Business Analyst Intern

RLB LLP

Sep 2020 - Aug 2021 (11 months)

Created dynamic Power BI reports and dashboards using SQL for staff and partners. Developed data pipelines connecting online forms, SQL, and Power BI, and optimized SQL queries to improve reporting efficiency.

Education

Degrees, certifications, and relevant coursework

University of Padua logoUP

University of Padua

Master's Degree, Data Science

2024 - 2026

Grade: 110/110

Activities and societies: Awarded the Data Science Department Scholarship for academic excellence; conducted research with the 'Visual Intelligence and Machine Perception' unit.

Pursued a Master's Degree in Data Science, graduating with a final grade of 110/110. Conducted research on 3D vision encoders for the master's thesis and was awarded a department scholarship for academic excellence.

University of Waterloo logoUW

University of Waterloo

Honours Co-op Program, Statistics

2017 - 2022

Grade: 82%

Completed the Statistics Honours Co-op Program, graduating with distinction and an average of 82%. Coursework included regression analysis, hypothesis testing, and model evaluation.

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