About me
I am a Physics graduate turned Data Scientist with 5+ years of working experience in industrial R&D and Data Science. I am passionate about RL, causal AI and the opportunities that GenAI is unlocking. I have worked on the end-to-end development of an IoT product, led a small team at 22 and hosted a series of workshops for the FactoryPal Data Science team. With an analytical mindset, I always strive to understand the bigger picture to solve problems pragmatically. I am a proactive person with a social conscience who loves to leverage data to make a positive difference.
Interests
- Blockchain & DeFi
- Climbing & Bouldering
- Surfing & Cycling
- Woodwork & Gardening
Education
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MSc in Data Sicence, present
University of Potsdam
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BSc in Physics, 2019
University of Barcelona
Skills
Python
AI and ML
Statistics
Physics
Git and GitHub
Docker, AWS and Heroku
R&D and Product Design
Team Coordination
Experience
Research collaboration / Master project
- Analysing and extending existing regime dependent causal discovery algorithms for the non-linear case. Such algorithms are of great importance both in the geosciences and in personalised medicine, where seasons and treatments may change the underlying data generating process.
Data Science Working Student
- Analysed the adoption of our algorithm recommendations by the shopfloor operators.
- Researched the regime dependent performance of multiple models and designed a feature for semi-dynamic recommendations that capture the current state of the production line.
- Day-to-day data science tasks; fixing bugs and implementing features to keep our pipelines running.
Research and Development Engineer
- Designed a PCB (Printed Circuit Board) with sensors, display and wireless capability, which is now in the process of getting a CE certification.
- Conceptualized and developed an IoT sensor and gateway for safer sailplane winch launches. During 2020 we deployed the system in two flight clubs and collected data of over 200 launches.
- Coordinated the work of three master students during their internships. Also mentored one masters thesis on the use of RFID for logistics.
- Designed and led the SW architecture of a calibration machine for load cells and force transducers.
- Contributed to the concept and development of a data management and evaluation tool based on the Odoo framework.
Internship - Engineer in R&D and Embedded Systems
- Developed a wireless sensor network for structural monitoring of transportation modules.
- Designed a PCB prototype with sensors, display and wireless capability.
- Wrote and tested C drivers and libraries for the PCB sensors and display.
Education
Exchange Student - Master in Data Science and Innovation
- Courses: Advanced Machine Learning Applications, Leading Data Science Initiatives and Rapid Value Creation.
- Within Rapid Value Creation I used generative AI to enter markets such as Etsy, Amazon and YouTube. I also crafted a chatbot business based on LLMs.
MSc in Data Science
- Focus courses: Reinforcement Learning, Causal Inference, Statistical Data Analysis, Data Assimilation and Bayesian Inference.
Visiting student - Causal Inference
MicroMaster in Statistics and Data Science
BSc in Physics
- Pathway: Fundamental Physics
- Thesis: Interaction of SAW with the nuclear spin
Qualifications
18.6501x: Fundamentals of Statistics
6.86x: Machine Learning with Python-From Linear Models to Deep Learning
14.310Fx: Data Analysis in Social Science
6.431x: Probability - The Science of Uncertainty and Data