Do you need support for specific topic areas or looking for speakers? We match civic society with experts from our network. Contact us at education [at] correlaid [dot] org for contact details and general inquiries.
Productionising Machine Learning (ML) models, Python for automation, Data visualization
I’m a full-stack data scientist and a scrum master eager to dive into the data and the processes it originates from. Having worked both in R&D building Machine Learning models and on the forefront of business operations, I can efficiently handle ad-hoc analytics and productionize data solutions for the long-term. I take inspiration from precision economy concepts and strive to contribute to a more sustainable world (currently, at an e-mobility start-up Jedlix). Tech I use: Python, Spark, SQL, dbt, Databricks, Airflow / Dagster, Tableau, Azure stack.
Data Strategy, Data Visualization, Excel
I share my experience as a Data Scientist in the IT and finance industry as a lecturer in Data Analytics and Statistics. I give workshops in Data Strategy/Data Culture, programming courses in R (especially Tidyverse, Visualization, Machine Learning) and Excel courses.
Surveys, Causal Inference, R
I am a junior professor of political science research methods at Chemnitz University of Technology. My main focus is on political science research on elections and attitudes. I work on this topic using quantitative methods based on aggregate and individual data and also conduct surveys myself. From time to time I give introductory courses in the statistical programming language R.
Business Intelligence (BI), Qlik Sense, Medical Data Science
I work as a consultant for business intelligence with Qlik Sense and I am happy to share my knowledge of creating insightful data analyses and dashboards with civil society. As a Medical Data Scientist, I also like to consult and support in the application of statistical models and machine learning in the context of medicine and public health.
Data Strategy, Data Visualization, Excel
I have been working with data for many years, mostly in pharma/biotech and recently in e-learning contexts. I have an extensive background in Python and I’m expanding my AWS skillset on a day to day basis. I’m interest in anything that concern data manipulation/modelling/orchestration to service big data platforms and AI systems.
Python, Deep Learning, Git
I analyze data in the biomedical domain using tools in python. I know about areas of deep learning (mainly self-supervised) and have a general interest in software development. Familiar with snakemake for workflows, git+github for version control, github workflows, github pages, and VS Code or JupyterLab for coding.
Citizen Science, User Experience (UX), Natural Language Processing (NLP)
I am currently doing a PhD in the field of participatory development of citizen science platforms at Université Paris Cité. I have a M.Sc. in Applied Cognitive Sciences, wrote my bachelor’s thesis about the user-centred development of an app to monitor mental health, and my master’s thesis about the detection of hate speech in the area of NLP. Intermediately I have worked as a user experience researcher in an agency with clients primarily from the public sector in Germany. Languages: German, English, French
Artificial Intelligence, Time Series, AI and Sustainability
I am an AI expert and consultant at Birds on Mars, from where I have experience in working on implementing AI proof of concept projects (time series, optimization, computer vision), getting AI into production, and enabling companies and people within companies to use AIs. Before, I worked in research on analyzing energy time series data. I am passionate about teaching data science and AI topics to different target groups. So, on the one hand, in company training formats or on the other hand, as an external lecturer, for instance, at TU Berlin Summer University, the Climate Change and AI summer school, Hertie School, CODE University of Applied Sciences, and Leuphana University Lüneburg. On the domain side, I am interested in all applications of AI and data in sustainable, environmental, and climate change-relevant applications.
Cloud (incl. AWS), Machine Learning & Deep Learning in Python, Spark
I work as a Lead Data Engineer at Exxeta at the intersection of Data Science, Data Engineering and Data Strategy. I manage all kinds of projects related to data, including the design and implementation of data platforms and data processing (ETL/Pipelines), customized solutions for data processing and data analysis, connectivity and evaluation of data, and problem-oriented solution methods using Machine Learning and AI. I am an expert in Python and the development of Python applications as well as Big Data Processing, including with Apache Spark. Besides that, I also work as an author and coach and share my knowledge in Python, Data Science, ML & AI at seminars and trainings.
Impact Measurement, Data Analytics, Data Literacy, Design Thinking
Working for United Nations and Deloitte, I established a proficient level of skill in impact measurement in both the strategic planning and practical assessment of chosen indicators. I am a proficient R user and I am familiar with Python and Tableau. For CorrelAid e.V., I established a hands-on, switched classroom model data literacy and R course, providing participants with our own learning platform.
Data Analytics in Python and R, Geo Data and Visualization, Wordpress
In data analysis, I am particularly interested in processing larger data sets with tools such as Pandas (Python) or the R Tidyverse. In my professional work in managing websites in IT, I also deal with setting up pages with the content management system Wordpress and the associated plugins. Maps and visualizations of geodata are part of my extended knowledge.
Data Science & Machine Learning, Production-ready Models, Delivery Management
Data science and machine learning expert, I led and scaled teams of data scientists, scoped end-to-end projects, coordinated with multiple international stakeholders and managed delivery. I am well versed in python, machine learning, data visualisation, project and delivery management, stakeholder and team management, agile methods for data science, big data, production-ready models, orchestration tools, CI/CD, Cloud platforms.
Scoping Data Science Projects; Search & Recommender Systems; NLP for social media
I’m an end-to-end data scientist that has experience in large consultancies, startups, and scaleups. Most of my career has been focused on search and recommender systems for everything from police detectives to secondhand fashion, and to matching jobs and people. I’m comfortable with the entire journey of a data science project: scoping and exploration, productionization, monitoring and testing, and leaving it in a state in which others can easily improve upon it. Tech stack: python, scala, Golang, docker, kubernetes, terraform, GCP/AWS, SQL, NoSQL, Hadoop stack, Elasticsearch.