Data Science Consultant | PhD
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- auf Anfrage
- 10365 Lichtenberg
- Weltweit
- de | en
- 10.07.2023
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
10/2022 – offen
Tätigkeitsbeschreibung
- Developing, evaluating, and deploying machine learning models (Google Cloud, Container, Docker, MLOps, Data Lake, Big Query)
- Maintenance and development of ETL pipelines in Airflow
- Python development
Data Science, Data Warehousing, ETL, DevOps, Maschinelles Lernen, Python, Google Cloud
9/2021 – 10/2022
Tätigkeitsbeschreibung
Building the tech (and team) in a quant VC startup.
Responsibilities included:
- Engineering: Developing infrastructure
- Data science: Developing and serving e.g. scoring models in production
- Data engineering: Managing dealflow
- Mngmt: Dept. planning, Project mngmt, Hiring
Cloud (allg.), Data Science, Data Warehousing, DevOps (allg.), Forschung & Entwicklung, Management (allg.), Python
1/2020 – 5/2021
TätigkeitsbeschreibungFrom PoC to MVP, MLP: Conceptualizing, prototyping, and industrialization of a cloud-based B2E web application for association rule mining of huge amounts of mixed and SAP master data. The product is currently in production in the cloud and used by business analysts around the globe.
Eingesetzte QualifikationenCloud (allg.), Data Science, Microsoft Azure, Python, Web Entwicklung
9/2019 – 11/2019
TätigkeitsbeschreibungIdentification and description of machine learning challenges and corresponding possible approaches for a funding proposal.
Eingesetzte QualifikationenMaschinelles Lernen
Ausbildung
Berlin
Berlin
Über mich
N. is a Berlin(Germany)-based freelancer who specializes in putting machine learning into production. He 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.
Weitere Kenntnisse
- Python w/ Pandas, Sklearn, Pytorch, Requests, Streamlit, Flask, etc
- CI/CD w/ Github, Cloud Build, Docker, Artifact Repos
- Data science:
- Statistics, Deep Learning, (Non)Convex Optimization
- Developing and serving models in production (REST API)
- MLOps w/ Databricks MLFLow & Vertex AI
- Data engineering:
- ETL w/ Airflow
- Data lake w/ cloud storage
- Data warehouse w/ BigQuery
- Transactional w/ Cloud SQL
Mngmt:
- General Mngmt: Planning, OKRs, KPIs
- Project Mngmt: Jira, Kanban, Scrum
- Hiring: Personio,
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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