Projects

Predict Bike Sharing Demand in Madrid

• Create dataset of historical bike sharing demand and weather data.
• Predict daily demand for each rental station using a Gradient Boosting Regressor.
• The gif below shows heatmaps of the daily predicted (left) and actual (right) bike sharing demand in December 2022.

Predict Generation of Renewable Energy in Germany

• Web scraping of local weather data and energy sector data.
• Predict renewable energy generation using regression techniques (SVM, XGBoost, Random forest regressors).

Ovarian Cancer Subtype Classification

• Multiprocessing of images from a ~700 GB dataset.
• Predict ovarian cancer subtype based on preprocessed microscopy images of tissue samples using convolutional neural networks.

Natural Language Processing with Disaster Tweets

• Discerning real from fake tweets about disasters using transformers (BERT).

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About me

Skills

• Programming: Python, git, MATLAB, C++
• Data visualization: matplotlib, seaborn, Inkscape, Adobe Illustrator
• Data Science: NumPy, SciPy, pandas, SQL, Excel
• Machine Learning: scikit-learn, PyTorch, Keras, MLflow
• Languages: German (native), English (fluent), Spanish (fluent)

Courses and Seminars

• Introduction to MLflow, Datacamp (2023)
• Supervised Learning with scikit-learn, Datacamp (2023)
• Unsupervised Learning in Python, Datacamp (2023)
• Deep Learning with PyTorch, Datacamp (2023)
• Introduction to SQL, Datacamp (2023)
• Machine Learning for Physicists, University of Erlangen (2023)

Experience

Scientific Staff - Humboldt Universtiy of Berlin (2018-2023)

• Built data architecture and data pipelines to process and analyze TB-sized datasets of time-series data, images, spectra, and sensor signals in Python.
• Wrote Python code to visualize scientific data.
• Coordinated and cooperated with international teams on several projects, authored 7 scientific publications in the field of quantum optics.

Visiting Research Scholar - Columbia University in the City of New York (2017-2018)

• Data analysis in Python and research at the interface between physics and quantum chemistry.
• Design and numerical simulation of optical cavities for frequency stabilization of an optical clock laser.

Education

PhD in Physics at Humboldt University of Berlin (2023):

• Dissertation on collective light emission by atoms coupled to a nanophotonic environment.
• Lise Meitner Award for the best dissertation of the year