I'm a junior data analyst with a background (PhD) in philosophy of science and am interested in 
energy and 🚲 transportation issues. I have experience in the Tech and Manufacturing sectors building data pipelines, conducting exploratory data analysis, statistical analysis, building machine learning models and visualizing with Tableau.
- 🔭 I’m currently working on an exploratory data analysis of the Kaggle Superstore data set
- 🌱 I’m currently learning forecasting for operations analytics and business German
- 💬 I speak English, French, Portuguese and German (B1)
- 📌 I am currently looking for new opportunities
- 📫 How to reach me
Excel / Python / SQL / Tableau / Snowflake / git / ETL / Exploratory Data Analysis / Statistical Testing / Machine Learning
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Tableau dashboard of German Energy Market from 2017-2022
- Energy production data and energy prices gathered from SMARD and DeStatis and visualized with Tableau. Notable findings include solar energy production was 19% greater in 2022 than the prior year. Tableau Public
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SpotiFind song recommendation app
- Provides Spotify song recommendations based on user song input. App was built with song data gathered via web scraping (BeautifulSoup) and the Spotify API. Songs are modeled based on five musical features using KMeans clustering. App interface developed with Streamlit.
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- Predicts the number of rides based the station, day of week and weather metrics. Dataset (45+M rows) was prepped using Polars. KNN regression, Random Forest and Gradient Boost models were tested. Random Forest yielded best results with R2 0.79 and RMSE 3.
