Fabian Steuer
Verified Expert in Engineering
Data Scientist and Developer
Hanover, Lower Saxony, Germany
Toptal member since March 27, 2020
Fabian is a data scientist and analytics engineer with more than five years of experience using the Python data science stack. As a full-stack data scientist, Fabian is skilled in the whole data value chain—from the initial data analysis to building predictive models and deploying the solution on various cloud platforms.
Portfolio
Experience
- Product Management - 6 years
- Data Science - 5 years
- Amazon Web Services (AWS) - 5 years
- Data Engineering - 5 years
- React - 5 years
Availability
Preferred Environment
Amazon Web Services (AWS), Python, Jupyter, Looker, Data Build Tool (dbt), TypeScript, JavaScript, React, Next.js, Sanity Studio
The most amazing...
...thing I've built is the complete data infrastructure of several startups—including data warehouses, pipelines, BI dashboards, and full-stack data applications.
Work Experience
CTO
Amayu Health
- Co-founded the company, raised hundreds of thousands in venture capital and scaled it to thousands of successful appointments.
- Designed and built an operating system connecting doctors, therapists, and patients, which is processed through our web app, including onboarding, scheduling, documentation, invoicing, and payments.
- Used Vercel, AWS, Google Cloud Platform, Google Apps Script, Next.js, React, TypeScript, tRPC, and Sanity.
Head of Product
MyWallSt
- Led the 4-person product, design, and data team and aligned the company around monthly engaged members (MEM) as a North Star metric to provide all teams with a clear direction.
- Led the introduction of a new messaging tool, increasing new user activation by 27%.
- Kicked off a new product strategy to double down on organic user acquisition via a web-based content platform.
Head of Data and Product Manager
MyWallSt
- Built and maintained a data stack based on Google BigQuery, Apache Airflow, Stitch, dbt, and Looker.
- Ensured that the product and marketing teams were tracking the right data, metrics, and KPIs.
- Conducted product management of the company's premium investment subscription service.
Data Engineer
NurseFly
- Built a serverless API for analytics data using AWS SAM, DynamoDB, Lambda, and API Gateway.
- Created an event-driven data verification system to ensure the correctness of data pipelines.
- Optimized a marketing attribution data model in Snowflake, dbt, and Looker.
Data Scientist
MyWallSt
- Built a data warehouse based on Google BigQuery, Apache Airflow, and Looker that serves as a single source of truth for business and usage data.
- Created the back-end architecture in Python that delivers stock market data to mobile apps and web applications in near real-time.
- Used Jupyter Notebooks to gain insights into the behavior of mobile app users and drive product innovation.
- Developed an event stream visualization web application in Django and D3.js to enable less technical stakeholders to do user research.
- Designed and ran A/B tests to evaluate the impact of product changes.
Data Scientist
DogBuddy
- Established Apache Airflow as the main workflow scheduler and wrote data pipelines for it.
- Migrated the company's data warehouse from PostgreSQL to Amazon Redshift.
- Designed BI dashboards and visualizations in Looker.
- Created an additive model for time-series forecasting to predict the future demand for customer support agents.
- Built an optimizer to improve the scheduling of the shifts of multilingual customer support agents.
Trainee in the Impact Assessment Unit
European Commission
- Ensured the quality of impact assessments and evaluations of major commission initiatives.
- Participated in training sessions concerning stakeholder consultation, impact evaluation, and cost-benefit analysis.
- Organized monthly events as a spokesperson of the Secretariat-General trainees.
Guest Scientist
Max Planck Institute for Dynamics and Self-Organization
- Conducted research on the dynamics of resource dispersion in interaction networks.
- Wrote an agent-based simulation of the resource exchanges in an ant nest in Python.
- Visualized the resulting interaction networks and analyzed how resource flow metrics varied with time and initial conditions.
Experience
Machine Learning for Public Policy Making
https://www.ibei.org/ibei_studentpaper46_162056.pdfEducation
Master's Degree in Public Policy
Central European University | Institut Barcelona d'Estudis Internacionals - Budapest, Hungary | Barcelona, Spain
Bachelor of Science Degree in Physics
Georg-August Universität Göttingen - Göttingen, Germany
Certifications
Business and Financial Modeling
Coursera
Programming with Google Go
Coursera
Bayesian Statistics
Coursera
Machine Learning
Coursera
Skills
Libraries/APIs
Pandas, React
Tools
BigQuery, Jupyter, Apache Airflow, Looker, Git, Microsoft Excel
Languages
Python, SQL, Snowflake, TypeScript, JavaScript, Go
Frameworks
Next.js, Django, tRPC
Platforms
Amazon Web Services (AWS), Google Cloud Platform (GCP), Sanity Studio, AWS Lambda
Storage
Redshift, PostgreSQL
Other
Software Development, Data Warehouse Design, Product Management, Machine Learning, Data Engineering, Data Science, Data Analysis, A/B Testing, Data Build Tool (dbt), Data Warehousing, Data Visualization, Google BigQuery, Business Modeling, Entrepreneurship
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