Daniel Miner

Angestellt, Managing Technical Consultant, NTT DATA DACH
Abschluss: PhD, University of Rochester
Frankfurt am Main, Germany

Fähigkeiten und Kenntnisse

Python
Mathematics
Statistics
Physics
Neuroscience
Data Analysis
Data Modeling
Machine learning
Applied Mathematics
Big Data
Research
Mentoring
Reporting
Project management
Climbing
Skydiving
Quantum computing
Artificial intelligence
Generative AI
NLP
AI
Data science
Generative KI
IT-Consulting
SQL
Analytics
ML
Technical Consulting

Werdegang

Berufserfahrung von Daniel Miner

  • Current 3 years and 5 months, since Jan 2023

    Managing Technical Consultant

    NTT DATA DACH

    Currently: AI Technology Officer: General SME-consultant and impulse giver for all things (gen)AI. DACH practice/ capability lead. Responsible for technical offering (classical and generative). Co-responsible for internal GenAI strategy, usage policies, and governance. Previously: Head of AI DACH: Managed AI and Data Science team and led AI practice in the DACH region. Business and offering development.

  • 1 year, Jan 2022 - Dec 2022

    Lead Technical Consultant

    NTT DATA DACH

    AI Practice Lead DACH: I worked as the Lead Technical Consultant for AI and Data Science in the DACH region, leading a team of Data Scientists and tripling the team's size, and have been responsible for the development of our technical offerings and skills. As well, I co-led the EMEAL Innovation Center for Quantum Computing.

  • 2 years and 2 months, Dec 2019 - Jan 2022

    Senior Technical Consultant

    NTT DATA DACH

    I worked as a senior technical consultant with a focus on data science, artificial intelligence, and other cutting-edge analytics and operations concepts and technologies such as quantum computing and optimization. At the same time I co-led our AI team and drove our internal and international AI network for the German-speaking market.

  • 2 years and 8 months, Apr 2017 - Nov 2019

    Postdoctoral Research Associate

    Georg-August-Universität Göttingen

    My work focuses on modeling the way sequences of stimuli may be stored in the cortex, the way these sequences may be recalled in order to produce sequences of action, and the way that distractions and disruptions to this recall process can effect recall, planning, and decision-making.

  • 4 years, Apr 2013 - Mar 2017

    Postdoctoral Research Associate

    Frankfurt Institute for Advanced Studies

    The majority of my work focused on understanding the way in which recurrent microcircuits in the cortex self-organize, and the resulting implications for computation and structure in said microcircuits.

  • 3 years and 4 months, May 2007 - Aug 2010

    Graduate Researcher

    CERN

    I assisted in the final phase construction and commissioning of the hadronic calorimeter of the Compact Muon Solenoid (CMS) experiment on the Large Hadron Collider, and made myself available as an on-call expert for said subsystem. I also spearheaded initial development and analysis on a study of a novel statistical measurement known as the dijet centrality ratio at the CMS experiment.

Ausbildung von Daniel Miner

  • 4 years and 8 months, May 2007 - Dec 2011

    Physics

    University of Rochester

    High-energy experimental particle physics

  • 1 year and 11 months, Jun 2005 - Apr 2007

    Physics

    University of Rochester

  • 3 years and 10 months, Aug 2001 - May 2005

    Physics

    Brandeis University

    Physics, with minor in math and extensive additional studies in philosophy

Sprachen

  • English

    C2 (Verhandlungssicher / Muttersprachlich)

  • German

    C1 (Fließend)

  • French

    A1-A2 (Grundkenntnisse)

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 21 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z