Profileimage by Nico Goernitz Data Scientist | Machine Learning Engineer | Ph.D. from Berlin

Nico Goernitz

partly available

Last update: 30.06.2023

Data Scientist | Machine Learning Engineer | Ph.D.

Graduation: Dipl.-Ing. Dr. rer. nat @TU Berlin
Hourly-/Daily rates: show
Languages: German (Native or Bilingual) | English (Full Professional)

Attachments

CV-Jun23_020623.pdf

Skills

Nico is a Berlin(Germany)-based freelancer who specializes in developing data science solutions and putting them into production in on-premise or cloud environments. He is comfortable working hands-on as an individual contributor or in a management/consultant position as a team lead.

Nico received his Ph.D. from Technical University Berlin and is an author of more than 35 peer-reviewed scientific papers. He served frequently as a reviewer and program committee member for internationally renowned conferences and journals and has extensively collaborated with academic and industrial partners.

Since 2019, he helps companies with his expertise to identify and solve data science problems in various roles e.g. Senior Applications Architect, CTO, or Senior Data Scientist.

Engineering:
- Python w/ Requests, FastAPI, Django, Flask, ORM, Scrapy, etc
- CI/CD w/ Pytest, Travis, Github, Cloud Build
- DevOps w/ Container, Docker, Artifact Repos
Data science/Machine Learning:
- Python w/ Pandas, Sklearn, Pytorch, etc
- Developing and serving machine learning models
- MLOps w/ MLFLow, Vertex AI
Data engineering:
- ETL w/ Airflow
- In-memory/No-SQL Redis
- Data warehouse w/ BigQuery
- Transactional w/ Cloud SQL, Postgres
Mngmt:
- Team lead data scientists, engineers, and developers
- Planning and Project Mngmt w/ Jira (Scrum/Kanban)
- Strategic w/ OKRs, KPIs, Roadmaps
- Team building / hiring

Project history

10/2022 - Present
Machine Learning Engineer
Morphais (Internet and Information Technology, < 10 employees)


09/2021 - 06/2023
Chief Technology Officer
Morphais (Banks and financial services, < 10 employees)

Morphais is a young quant VC startup that finds and invests in exceptional founders and startups via artificial intelligence and technology. As the CTO, my main responsibilities included:

Tech
- Building a production tech stack for scoring and dealflow
- Building a triple A tech team (Data Scientists, Data Engineers, Developer)

Business
- Hiring and onboarding
- OKRs and corresponding tech KPIs
- Product- and stakeholder management

Tags:
Google Cloud, REST, MLOps, DevOps, Python, Airflow, Data Lake, BigQuery, Cloud Run, Machine Learning, Data Studio, Dashboarding

05/2020 - 09/2022
Senior Application Architect
Gramont / Nestle (Consumer goods and retail, >10.000 employees)

Conceptualizing, prototyping, and industrialization of a complex cloud-based B2E web application for association rule mining for a big international company of >300k employees. The goal was to enable employees to analyze and find association rules of SAP master data without extensive technical knowledge.

As of end of 2022, the application is still in production and actively used by business analysts around the globe.

The multi-page Python web application is deployed in Azure cloud environment using various services such as ADLS, Web App, DevOps. Besides the data science backend, the application contains extensive visualizations such as charts and tables as well as extensive interactive elements (radio buttons, multi-selects, search, etc) and logic (e.g. Sessions, User and Roles management).

06/2019 - 08/2019
Consulting
Steady Media (Media and Publishers, 10-50 employees)

As part of a team, my task was to consult the client in data science specific questions to enable the company to apply for a high-tech funding opportunity.

Local Availability

Only available for remote work
I am generally looking for remote projects.
Profileimage by Nico Goernitz Data Scientist | Machine Learning Engineer | Ph.D. from Berlin Data Scientist | Machine Learning Engineer | Ph.D.
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