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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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meretelutz/README.md

Hi 👋, I'm Merete

I'm a Data Scientist with a passion for Sports Analytics and Public Health

About Me:

- I am currently pursuing a Master's of Data Science at the University of British Columbia with an expected completion date of June 30, 2024

- Before moving to Vancouver, I played professional volleyball for 5 years in Italy, South Korea, and Japan

- In 2018 I graduated from Stanford University with a BS in Human Biology and a MS in Epidemiology. I am passionate about global public health and specifically am fascinated by infectious diseases

- I'm now looking for the perfect opportunity to combine my data science skills with my love of sports and medical data

Projects:

- Co-created a dashboard in Dash exploring global air pollution - pollution-tracker

- Co-created a machine learning model to predict potential rating of players in FIFA '22 - fifa-potential

- Created a dashboard in Shiny to explore the 2014-2016 Ebola epidemic - ebola-explorer

- Co-authored a Python package that facilitates exploratory data analysis for time-series data - quanteda

Languages and Tools:

aws docker git mongodb pandas postgresql python pytorch scikit_learn tensorflow

Pinned Loading

  1. UBC-MDS/fifa-potential UBC-MDS/fifa-potential Public

    Supervised machine learning model to predict potential rating of players in FIFA 22

    CSS

  2. UBC-MDS/DSCI-532_2024_2_pollution-tracker UBC-MDS/DSCI-532_2024_2_pollution-tracker Public

    A dashboard to explore local and global trends in air pollution

    Jupyter Notebook 4 2

  3. UBC-MDS/quanteda UBC-MDS/quanteda Public

    Perform exploratory data analysis (EDA) on quantitative financial data.

    Python 1 1

  4. ebola_explorer ebola_explorer Public

    A dashboard to explore the 2014-2016 Ebola virus outbreak

    R