Skip to content
View astrosica's full-sized avatar
πŸ‘©β€πŸ’»
πŸ‘©β€πŸ’»

Block or report astrosica

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
astrosica/README.md

Hello, I'm Jess! ✨

I'm a Data Science Consultant and former Astrophysicist passionate about impacting the world with data.

πŸ‘©β€πŸ’» About Me

πŸ“ˆ First employee as Data Science Consultant at fintech startup Your Treasury
πŸ”­ 8+ YOE in quantitative data-driven research and analysis
πŸ“š PhD in Astronomy & Astrophysics + HBSc in Astronomy & Physics from the University of Toronto
πŸ’¬ Taught 500+ technical and non-technical students over 17 classes, including on the use of Python
πŸ“ Published several technical papers in esteemed research journals
πŸ‘₯ Mentored a student on a year-long data project through to publication
🧡 Fun fact: I cross-stitch realistic astronomy observations on Etsy

πŸ› οΈ Skills

Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, SciPy), SQL (BigQuery, MySQL)
Tools: Tableau, Git/GitHub, Jupyter Notebook, MS Office Suite (Excel, PowerPoint, Word)
Techniques: EDA, Statistical analysis, Data pipelines, ML, Fourier Analysis, Documentation, Quantitative Research, Technical writing, Data visualization

🌐 Contact

Email me at jessicacampbell.astro@gmail.com
Connect with me on LinkedIn at linkedin.com/astrosica

Data Projects

Machine Learning (Python)

  • Credit Card Application Prediction: Developed a prediction model that determines whether a credit card application will be approved or denied using Logistic Regression, KNN, and Random Forest models in Python.

Reporting and Dashboards (SQL, Tableau, Excel)

  • Insurance Analysis: Developed an interactive Tableau dashboard to report and analyze 70K insurance claims, providing actionable insights to guide future marketing and budget decisions as a PowerPoint presentation.
  • Marketing Analysis: Performed exploratory analysis and data validation of 100K sales records for a sample e-commerce company using Excel and SQL (Google BigQuery). Developed an interactive Tableau dashboard to report sales and marketing metrics.
  • TTC Delay Analysis: Performed exploratory analysis and data cleaning of 40K subway delays for 2022-2023 using SQL and Tableau to investigate performance metrics, YoY KPIs, and performance strategies.

Learning Projects

Machine Learning (Python)

Pinned Loading

  1. data-science-portfolio data-science-portfolio Public

    Jupyter Notebook 3

  2. W3-DIT W3-DIT Public

    User-based automated data pipeline for data management and analysis of DIT photometry of the W3 giant molecular cloud.

    Python