Consulting Data Scientist / Solution Specialist

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Umkreis (bis 200 km)
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Bayern
02.04.2019

Kurzvorstellung

Data Scientist / Solution Specialist with 8+ years of experience in interpreting and analyzing data for driving and optimising conversions . Holding a doctoral degree in applied advanced machine learning techniques.

Ich biete

IT, Entwicklung
  • Predictive analytics
  • Big Data
  • Machinelles Lernen
  • Data Mining
  • Datawarehouse / DWH

Projekt‐ & Berufserfahrung

CTO
Kundenname anonymisiert, München
6/2018 – 12/2018 (7 Monate)
Gesundheitswesen
Tätigkeitszeitraum

6/2018 – 12/2018

Tätigkeitsbeschreibung

BODYVISER provides digital, mobile solutions, to tackle chronic stress and find inner balance. For personal assistance, it is also possible to find the right expert on the platform right away. The BODYVISER platform serves mobile coaching, digital therapy assistance for experts and clients. Based on insights and findings out of the therapy process, an adaptive lifestyle is established according to individualised needs.

Eingesetzte Qualifikationen

Agile Entwicklung, Jira, Product Owner


Data Science Consultant
Kundenname anonymisiert, München
2/2018 – 4/2018 (3 Monate)
Handel
Tätigkeitszeitraum

2/2018 – 4/2018

Tätigkeitsbeschreibung

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Eingesetzte Qualifikationen

Predictive analytics, Big Data, Amazon Web Services (AWS)


Data Science Consultant
Kundenname anonymisiert, München
2/2018 – 4/2018 (3 Monate)
Handel
Tätigkeitszeitraum

2/2018 – 4/2018

Tätigkeitsbeschreibung

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Eingesetzte Qualifikationen

Predictive analytics, Big Data, Amazon Web Services (AWS)


Data Science Consultant
Kundenname anonymisiert, München
10/2017 – 1/2018 (4 Monate)
Medienbranche
Tätigkeitszeitraum

10/2017 – 1/2018

Tätigkeitsbeschreibung

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Eingesetzte Qualifikationen

Predictive analytics


Data Scientist (Festanstellung)
Social Sweethearts GmbH, München
5/2017 – 9/2017 (5 Monate)
Medienbranche
Tätigkeitszeitraum

5/2017 – 9/2017

Tätigkeitsbeschreibung

Social Sweethearts Gmbh is the leading global digital publisher of individualized content. This content consists mainly of fortune telling quizzes for Facebook users. The project goal was to optimize the answers for these quizzes by enhanced user targeting. Additionally, conversion rates, especially the share rate on Facebook, increased by building precise user models combined with recommendation techniques. A higher share rate, in turn, results in higher page, and therefore, higher ad impressions.

Eingesetzte Qualifikationen

Predictive analytics, Machinelles Lernen, Big Data, Data Mining, Python, Prozessoptimierung


Data Scientist (Festanstellung)
IntraFind Software AG, München
7/2016 – 4/2017 (10 Monate)
Telekommunikation
Tätigkeitszeitraum

7/2016 – 4/2017

Tätigkeitsbeschreibung

IntraFind Software AG develops products and solutions for easy searching, finding, and analyzing of structured and unstructured information across all available data sources of a company. The project goal was to develop methods for relevance score shaping in these search engines. In contrast to the existing approach, relevant items should be found not only by the keyword but by taking user-centric knowledge into account. For example, my own search history, the search history of my departement and also company-wide announcements shape the importance of the result items.

Eingesetzte Qualifikationen

Predictive analytics, Machinelles Lernen, Big Data, Data Mining


Data Scientist (Festanstellung)
inovex GmbH, München
6/2015 – 6/2017 (2 Jahre, 1 Monat)
Dienstleistungsbranche
Tätigkeitszeitraum

6/2015 – 6/2017

Tätigkeitsbeschreibung

The inovex GmbH acted as a service provider for the ProSiebenSat.1 Media SE. The goal for the longtime project was the to migrate the data warehouse from PostgreSQL basis to the Apache Hadoop stack. To achieve all objectives, an ETL process with more than 30 data sources, incl. Google Analytics 360, Facebook API, Mixpanel, Webtrekk, was maintained. With this in mind, it became possible to extract and calculate business-critical key performance indicators irrespective of data source borders.

Eingesetzte Qualifikationen

Predictive analytics, Apache Hadoop, Big Data, Datawarehouse / DWH, Pentaho Open-Source-BI-Suite, PostgreSQL, ETL, Google Analytics


Research Associate (Festanstellung)
University of Augsburg, München
1/2015 – 5/2016 (1 Jahr, 5 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

1/2015 – 5/2016

Tätigkeitsbeschreibung

Analysing factory data to detect and react to anomalies.

Eingesetzte Qualifikationen

Node.js


Research Associate (Festanstellung)
TU Dresden, Dresden
2/2012 – 12/2014 (2 Jahre, 11 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

2/2012 – 12/2014

Tätigkeitsbeschreibung

Regular daily routines not only increase the overall well-being but also affect peoples’ health and the perceived stress level. Large discrepancies in these rhythms may result in sleep disorder up to chronic depressions. Nowadays, daily routines can only be manually supervised by experts in order to avoid these negative consequences. The intention of the proposed solution is to offer automated and preventive assistance for this complex process. This is done, by combining several sources of information, e.g. domestic sensor values, smartphone data, social networks, fitness trackers, to determine daily activities with machine learning techniques. In the end, calculated routines from daily activities result in patterns, outliers, and corresponding causes.

Eingesetzte Qualifikationen

Predictive analytics, Machinelles Lernen, Big Data, Data Mining, Weka (Waikato Environment for Knowledge Analysis), Java (allg.), Node.js, OWL (Web Ontology Language)


Ausbildung

Angewandte Informatik
(Dr.-Ing.)
Jahr: 2016
Ort: TU Dresden

Informatik
(Diplom)
Jahr: 2011
Ort: TU Dresden

Qualifikationen

Python, Pandas, BigQuery / GA 360, scikit-learn, Matillion ETL for BigQuery, Docker, Apache Spark, elastic Stack, Pentaho Data Integration, Apache Hadoop Stack, PostgreSQL

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
Umkreis (bis 200 km)
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
945
Berufserfahrung
8 Jahre und 4 Monate (seit 01/2011)
Projektleitung
3 Jahre

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