Data Scientist | Tableau, Databricks | Neuroscience Researcher Turned AI Developer

Data Scientist with 5+ years experience and certifications in Tableau and Databricks. My work spans neuroscience and assistive tech, with a focus on robust, interpretable ML. I help organizations understand their data and automate the hard stuff. I am seeking a role involving analytics and pipeline development.

Open Source Developer

Independent

Toronto, ON

Present - Jan 2024

• Developed a software package [datopy] simplifying data model design and ETL workflows (Python, Pandas)
• Built a data management package [autocv] automating job application workflows (R, Excel)
• Implemented a data app [zip-explorer] displaying geospatial KPIs in space and time (Streamlit, Plotly)

Data Scientist

VocaLinks Inc.

Toronto, ON

Oct 2023 - Jun 2023

• Created and communicated market breakdowns and technical tutorials (R Markdown, Python) on 4 AI-assisted assistive technology products, facilitating data-driven discussions among industry leaders
• Distilled key statistical insights in hearing research into visually compelling reports (ggplot (R), Seaborn), driving a 100% increase in sales of an assistive listening product
• Designed the data layer of an Azure speech recognition data center, enabling rapid delivery of meaningful analytics to 200+ customers via the cloud

Research Analyst

University of Western Ontario

London, ON

Aug 2022 - Sep 2021

• Designed scalable online experiments (AWS, Amazon MTurk, JavaScript) to expedite data collection for 3 auditory neuroscience projects, yielding 2 publications and a robust cloud infrastructure
• Provided multivariate statistical modeling support for research on neural signatures of epilepsy, laying the groundwork for automated labeling of 10+ hours of multimedia stimuli (Python, GCP)

Computational Cognitive Neuroscientist

University of Western Ontario

London, ON

Aug 2021 - Jul 2018

• Designed and deployed 11 experiments assessing neural speech processing in 300+ research subjects
• Developed a time series analysis toolbox (R, MATLAB) to measure hearing impairment through brain imaging, enhancing diagnostic sensitivity by a factor of 2

Graduate Teaching Assistant

University of Western Ontario

London, ON

Apr 2021 - Sep 2018

• Directed 4 weekly research methods and statistics labs for 100+ undergraduate neuroscience students, leading to a nomination recognizing excellence in teaching and mentorship

Head of Finance

Lorne Park Landscaping

Mississauga, ON

Apr 2018 - Apr 2015

• Cofounded and managed payroll, client invoicing, and government remittances for a successful partnership specializing in property maintenance, servicing 80+ clients and leading a team of 5 employees

BSc (Honours), Mathematics and Statistics

McMaster University

Hamilton, ON

Dec 2023 - Sep 2021

MSc, Neuroscience [Thesis]

University of Western Ontario

London, ON

Aug 2020 - Sep 2018

BSc (Honours), Neuroscience

McMaster University

Hamilton, ON

Apr 2018 - Sep 2014

Databricks Certified Data Engineer Associate [Certificate]

Databricks

N/A

Mar 2027 - Mar 2025

Tableau Certified Data Analyst [Certificate]

Tableau

N/A

Feb 2027 - Feb 2025

Professional Machine Learning Engineer

Google Cloud Platform (GCP)

N/A

Expected May 2025

Machine Learning Specialization [Certificate]

Stanford University

N/A

Dec 2024

datopy (Data Management Python Package) [Documentation]

N/A

N/A

Present - Jan 2024

• Implemented and maintain a package for handling unstructured data, providing a simple interface for data modeling, extraction, validation, and building ETL pipelines (Pandas, PyTest, Pydantic, GitHub Actions)

mlvizz (Machine Learning Data Visualization Package)

N/A

N/A

Present - Apr 2024

• Build Python interfaces for efficient, intuitive model selection, tuning, inspection, and ML pipelines through modular, object-oriented designs with built-in data validation (Scikit-learn, TensorFlow, ArviZ, PyMC, SciPy)

statvizz (Statistical Data Visualization Package)

N/A

N/A

Present - Apr 2024

• Build Python extensions unifying Pandas data summarization with Seaborn statistical plotting functionality for a unified, intuitive, fully transparent statistical plotting interface (Pandas, Seaborn, SciPy, Matplotlib)

mathvizz (Mathematical Visualization Package)

N/A

N/A

Present - Jul 2024

• Build Python interfaces for exploring the geometry of machine learning math, including linear maps, derivatives, statistical distributions, and series approximations (SymPy, SciPy, Seaborn, Matplotlib)

One-stop Superstore Dashboard [Tableau]

N/A

N/A

Feb 2025 - Feb 2025

• Designed an interactive dashboard displaying sales in a convenient, unified view, with key KPIs and sales logs visualized in both space and time (SQL, Excel)

Zip Explorer (Geospatial Data Analysis Streamlit App) [Web App]

N/A

N/A

Dec 2024 - Nov 2024

• Implemented a data application with interactive visualizations of geospatial data in space and time, across various KPIs and at state and county levels (Streamlit, Pandas, Plotly, Altair, GeoPandas)

autocv (Automated CV-generation R Package) [Documentation]

N/A

N/A

Jul 2024 - May 2024

• Built a data management package automating job application workflows using validated data stores and macro-integrated spreadsheets, resulting in an efficient, extensible workflow (dplyr (R), pkgdown, Excel)