I specialize in helping startups with fundraising, grant writing, and advising research activities with universities and research institutions. I focus on businesses that promote sustainability and human welfare. I do so through topics including but not limited to public health, citizen science and GIS applications.With 7+ years of experience in the field of Data Science, I enable businesses and individuals to convey their value to the market. Through a synergy of venture-building acumen and data science expertise, I provide services that aid businesses in bringing their ideas to fruition within the market.Engaging in discussions on both of these subjects is something I thoroughly enjoy. 😉🤙🏻 Feel free to schedule a 15-minute call with me!Successful Grants:• 2022-2023: IBB Gründungs BONUS (grant 50k), IBB ProFIT Startup Contributor(grant 400k, loans up to 1Mil)• 2021-2022: Aquatag Project Extension (8 months, part of theapplication team)• 2018-2019: Erasmus Plus (50k) – Debates for Youth• 2018-2019: Erasmus Plus (50k) – Velocity of the Future• 2017-2018: European Institute of Technology Climate KnowledgeInnovation Community (Part of the application team, 1.5-year project in Smart Sustainable City Research)• 2016-2017: Taiwan Ministry of Culture project grant for a twin cityproject between Taipei and Berlin (20k)• 2015-2016: Taiwan Ministry of Culture project grant for a twin city project between Taipei and Berlin (20k)Expertise:– Business Skills: Grant writing, consulting, thought leadership, public speaking, and community building. 💼💡– Sustainability: Sustainability indicators, ESG, SDGs – Scientific Research: conducting research, and publishing findings. Tech Stack:– Geographic Information Systems: Web mapping, d3.js, ArcGIS and QGIS for spatial analysis and mapping. 🗺️📍– Data Mining: Expertise in web scraping, data cleaning, data processing, and Twitter API integration. 🕸️🔍– Data Engineering: Proficient in working with PostgreSQL, MongoDB, Docker, and ETL processes. 🛠️💻– Data Analysis: Skilled in utilizing R (rcompanion) and Python (sci-py, statmodels), NumPy, Pandas, and GeoPandas. 📊🔬– Data Visualization: Proficient in generating insightful visualizations using R (ggplot2, maptools) and Python (Matplotlib, Seaborn). 📈🎨– Machine Learning: Experienced in feature engineering and implementing various algorithms, including Linear/Logistic Regression, Random Forests, k-means, and PCA (Principal Component Analysis). 🤖📚– Web3 & Blockchain: Building CitizenSci, a DeSci solution for environmental science.