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Data Scientist

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  • 12053 Neukölln
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  • en
  • 01.03.2021
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Kurzvorstellung

I'm an interdisciplinary data scientist working at the intersection of quantitative social science, technology and the built environment.

Qualifikationen

  • Big Data
  • Data Science
  • Django (Framework)
  • GIS
  • Gradient Boosting
  • Maschinelles Lernen
  • PostgreSQL
  • Python
  • R

Projekt‐ & Berufserfahrung

Senior Data Scientist
UNICEF, Worldwide
7/2020 – 2/2021 (8 Monate)
IT & Entwicklung
Tätigkeitszeitraum

7/2020 – 2/2021

Tätigkeitsbeschreibung

Pro-bono consulting as technical lead for a project using deep learning
algorithms to analyse the effects of Covid19 lockdows on air pollution.
• Achievements: Implementing scrum methodology, sprint planning and
CI/GitHub integration
• Technologies: Python, Google Compute Engine, Git, CircleC

Eingesetzte Qualifikationen

Big Data, Data Mining, Data Science

Data Science Team Lead
Skwire, UK
12/2019 – 2/2021 (1 Jahr, 3 Monate)
Wohnungswirtschaft
Tätigkeitszeitraum

12/2019 – 2/2021

Tätigkeitsbeschreibung

Introduced spatial econometric techniques to automated machine learning
pipeline. Experience developing and maintaining predictive models using mlflow,
Docker and BentoML to compile and serve the model to an EC2 instance on AWS
• Achievements: Improving revenue prediction by 30%.
• Technologies: Python (nltk, networkX) Django, Postgres, AWS, mlflow, Git

Eingesetzte Qualifikationen

Data Science, Software engineering / -technik

Research Data Scientist
University of California, USA
11/2017 – 3/2018 (5 Monate)
Automobilindustrie
Tätigkeitszeitraum

11/2017 – 3/2018

Tätigkeitsbeschreibung

Using Markov Chain Monte Carlo (MCMC) to identify clusters of low job
accessibility for in Los Angeles.
• Achievements: I was the youngest researcher to present at a Travel Behaviour
Conference.
• Technologies: Python, (Scikit-learn, Tensorflow, Pystan, PyMC3).

Eingesetzte Qualifikationen

Data Science, Logistikplanung, Statistik (allg.)

Ausbildung

Geography with Quantitative Methods
2019
2019
University of Bristol
Computer Science
Ausbildung
2018
University of California

Über mich

I'm an interdisciplinary data scientist working at the intersection of quantitative social science, technology and the built environment. My one passion is to shape better communities. I’ve helped build software, design smart cities and create strategic plans in Upstate New York, Harvard, London, SoCal and NYC. My most recent role as a Senior Data Scientist involves collaborating with UNICEF to model global air quality during Covid19 lockdowns using machine learning algorithms, and measure the effect on child health.

I work as a Data Scientist at Skwire, a tech-first real estate company building self-learning AI to create better homes for people and communities. My work combines Geographic machine learning, Natural Language Processing and MLOps using MLFlow.

I maintain a scholarly interest and continue to contribute to academic publications, as well as regularly exhibiting digital art in exhibitions across London. I devote my extra time to building tech communities as the AICamp London Chapter Lead, most recently forming a partnership with Google London.

Persönliche Daten

Sprache
  • Englisch (Muttersprache)
Reisebereitschaft
National
Arbeitserlaubnis
  • Europäische Union
Home-Office
unbedingt
Profilaufrufe
723
Alter
27
Berufserfahrung
5 Jahre und 1 Monat (seit 03/2019)
Projektleitung
2 Jahre

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