Thomas Mick

Data Scientist / Data Engineer / BI Dev / DWH

Moves to Paris, Nantes, Lyon

  • 48.8546
  • 2.3477
  • Indicative rate €950 / day
  • Experience 7+ years
Propose a project The project will only begin when you accept Thomas's quote.

Confirmed availability

Propose a project The project will only begin when you accept Thomas's quote.

Location and geographical scope

Paris, France
Can work in your office at
  • Paris and 50km around
  • Nantes and 50km around
  • Lyon and 100km around


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
Would prefer avoiding:
  • Defense & Military
  • Restaurants
  • Small Retail
Company size
  • 2 - 10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
+1 autres



  • French


  • English

    Full professional proficiency

  • German

    Native or bilingual

Skills (25)

  • BigData
  • Beginner Intermediate Advanced
  • Databases
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced
  • Beginner Intermediate Advanced

Thomas in a few words

Probably the most interesting development in the general field of Data Science is that we left behind the era where extracting data and the information contained in it is perceived as an privilege for big companies.

Nowadays all the tools we need can be obtained from public available Open Source Projects and data, of course, can still be found everywhere.

If you need someone that can give you a helping hand with extracting knowledge for your needs you might want to consider contacting me so I can explain to you how you can benefit from my 20+ years experience in that field.

No matter where you are right now and where you want to go I am sure I can support you. Although I am very proficient with every aspect of Data Engineering and Data Science You will remain my center of gravity not the data pipeline I will create for you.

As a Mathematician I wrote my thesis about time series forecast with neural networks before working in the field of Business Intelligence in big companies for eleven years. After that I enhanced my working experience by adding Big Data frameworks and methodologies to my portfolio. For the last three years I work in the exciting Startup Ecosystem, always eager to apply my skills I learned in an industrial environment in large teams to create added value.

Besides my main tasks I work as a professor for Big Data, Machine Learning and future technologies in an internationally top rated university for three years now.

Please feel free to contact me if you have further questions.



Startup digital platform for sustainable development

Travel & Tourism

Data Scientist / Data Engineer / CTO and CoFounder

Paris, France

October 2019 - Today

We create a cloud based and AI driven digital platform to align a specific industry to the Sustainable Development Goals (SDGs) of the UN as a spearhead organization for next gen companies.

  • Definition and evaluation of functional/non-functional requirements
  • Creation of data pipelines for structured and unstructured data
  • Data acquisition from web based sources and third party APIs
  • Data exploration and analysis
  • Data preparation and feature engineering
  • Creation, evaluation and integration of machine learning models
  • Design and build of the analytic core structure
  • Creation of frontends for different stakeholders
  • Process automation and CI/CD
  • Rapid Prototyping
  • Communication and Involvement of all stakeholders
  • Presentation of intermediate results
  • Overall system architecture
  • Planning, Budgeting, Teamlead

University in Germany

Education & E-learning

Professor (part time lecturing)

Frankfurt am Main, Germany

October 2018 - Today

Currently I am lecturing once per semester in the following areas:

  • Big Data
  • Databases
  • AI / machine learning
  • Future technologies and society

Startup AI Service Platform

High Tech

Data Scientist, Data Engineer, Architect

Frankfurt am Main, Germany

October 2017 - September 2019

Development of a platform for the use of micro-service based machine learning models in operative IT environments and the business processes integrated in them.

  • High-level design of the overall system
  • Conception general orchestration of the module classes
  • Definition of internal and external interfaces
  • Implementation of modules
  • Design and implementation of a central repository
  • Implementation of service encapsulation and orchestration
  • Selection and preparation of test data sets
  • Iteration management: Definition, implementation, evaluation

Data Science Consulting Company for law enforcement, internal investigations, compliance

Consulting & Auditing

Data Scientist, Data Engineer, Project Manager, Team Leader, Architect

Frankfurt am Main, Germany

April 2012 - October 2017

Analysis of structured and unstructured data with modern approaches from the realm of Big Data and AI

  • Data cleansing / harmonization / integration / provision
  • Analysis of data and creation of models for the analysis of data correlations
  • Presentation of data correlations and other results
  • Design and development of an analysis framework
  • Management and project management activities

Major Swiss Bank

Banking & Insurance

Project/Team leader Business Intelligence / DWH

Zurich, Switzerland

August 2010 - April 2012

Initiation and support of three projects in the environment of the company's future strategic DWH platform. The focus was on the conversion of the DWH core with special regards on IT security and data protection aspects as well as the support of the conversion of the development process from a waterfall to an iterative model.

  • Preparation Decision Making Management
  • Interface to the customer
  • Processing of status messages
  • Budget, time and quality responsibility
  • Monitoring of the budgeting processes
  • Technical leadership of the team
  • Preparation of project planning
  • Setting up resource planning
  • Preparation of the budget planning
  • Implementation of cost estimates
  • Reporting system
  • Analysis of requests/requirements

Major TelCo Provider


Different Roles Data Warehouse / Business Intelligence Platform

Darmstadt, Germany

February 2003 - August 2010

Overall architect

  • Definition of the overall architecture of the DWH within the Enterprise Warehouse
  • Advice to customers and other IT lines
  • Definition and enforcement of architectural definitions
  • Ensuring the correct distribution of the functional blocks within the EDWH
  • Ensuring compliance with corporate guidelines and legal requirements, in particular data protection regulations


  • Analysis of the technical requirements of the department
  • Analysis of data and processes in the source systems
  • Design of technical interface agreements
  • Preparation of technical interface agreements
  • Creation of logical data models
  • Design of the data flow within the DWH
  • Design of the access layer (facts, dimensions)
  • Preparation of analyses and mathematical models

DWH Developer

  • Derivation of technical specifications on the basis of the requirements
  • Implementation of the specified modules
  • Creation of data models (logical/physical)

Major Internet Service Provider


Data Engineer / Data Scientist / Teamlead

Darmstadt, Germany

January 2000 - January 2003

Development of an ETL solution with operational elements and a data warehouse with the aim of gradually improving processes and implementing standard reporting. Connection to existing data warehouse structures. Development of a process-related datamart to provide a consolidated view of technically mapped business processes. Preparation of various analyses and reports.

  • Design ETL / DataMart / Reporting
  • Implementation ETL / DataMart / Reporting
  • Testing
  • Deployment

Alexandre Thill - Ximalia


Thomas is highly qualified to tackle complex data science problems. His analytical skills are above the average and he is able to bring smart solutions to complex problems. Full of innovative and original ideas, he helped us not only for the mission but to have a better look at our overall project. Rigorous and attentive to details, each step is with the global plan in mind. His humor ties it all together!


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