Pascal Bernard

Bis 2020, Head of Data Science, CARBON / One Finance & Investments

London, Vereinigtes Königreich

Fähigkeiten und Kenntnisse

Python
Artificial intelligence
Data Science
Algorithm Development
Business
Management
Decision-making
Machine Learning

Werdegang

Berufserfahrung von Pascal Bernard

  • Bis heute 3 Jahre und 6 Monate, seit 2021

    Director of Data Strategy and Governance

    Access Bank Plc

  • 2 Jahre und 4 Monate, Sep. 2018 - Dez. 2020

    Head of Data Science

    CARBON / One Finance & Investments

    As Head of Data Science at CARBON, I lead the Data Science team of 10 people and manage the team spread between Lagos, Cape Town and US from the London-based leadership office. I influence and provide expertise by establishing the strategic road map for Data Science and Engineering and by bridging the gap between Software Engineering, Risk Management, Credit Analytics and BI departments.

  • 8 Monate, Feb. 2018 - Sep. 2018

    Senior Data Scientist - Head of AI

    FILED

    Responsible for the AI algorithms modeling and deployment in order to deliver a framework able to analyze and optimize Facebook and Instagram advertising campaigns. The core of the AI engine was to allow budgets to be automatically moved from under-performing ad sets to the best performing ones, thereby maximising results, as well as to optimize the bidding strategy to help customer campaigns deliver according to the objective they select.

  • 5 Monate, Okt. 2017 - Feb. 2018

    Senior Data Scientist

    Certace

    Worked as a consultant for Certace which connects the top 1% of data experts (Information Strategists, Analysts, Machine Learning Scientists, Data Architects, Data Engineers, etc.) with the most relevant and meaningful high-impact projects in order to help organizations advance through a clear data strategy allowing for descriptive, predictive and prescriptive data insights.

  • 1 Jahr und 2 Monate, Sep. 2016 - Okt. 2017

    Data Scientist

    Plesk

    My role is to bring a strategic thinking related to data in order to extract actionable insights that will help drive decisions across the business. I have buily a high-level data integration / aggregation systems through numerous systems and data sets in order to build machine learning models in order to predict sales, lifetime value and churn.

  • 4 Jahre, Sep. 2011 - Aug. 2015

    Legal Data Architect and Admin

    SBM Offshore

    Responsible for planning, connecting, designing, scheduling, and deploying the Data Warehouse and Data Lake. Full ETL mapping. Design and Deployment of the Follow-up Matrix for the Strategy Department. Data Processing and Entity Recognition. NLP system deployed for the understanding of the Legal documents and contracts. Developed in-house tools for Fraud investigation and prevention.

Ausbildung von Pascal Bernard

  • Bis heute 5 Jahre und 10 Monate, seit Sep. 2018

    Computer Science - Machine Learning

    CNAM - Conservatoire des Arts et Métiers

    Machine Learning.

  • Bis heute 8 Jahre und 10 Monate, seit Sep. 2015

    Computer Science - Data Science & Machine Learning

    Harvard University - HES

    Data Science (Computer Science 109), Data Systems and Machine Learning - Lectures from Harvard John A. Paulson School of Engineering and Applied Sciences. Major Data Course taught by Hanspeter Pfister and Joe Blitzstein (Statistics).

  • Bis heute 12 Jahre und 10 Monate, seit Sep. 2011

    Decision Science

    University of Nice Sophia Antipolis

    Master’s Degree - MSc (MIAGE - Science de la Décision) - Comp.Sci & Decision Science applied to Business Management.

Sprachen

  • Französisch

    Muttersprache

  • Englisch

    Fließend

  • Spanisch

    Gut

  • Portugiesisch

    Grundlagen

  • Italienisch

    Grundlagen

Interessen

Eternal curious about Data
Philosophy of science and AI
Social Sciences and Arts
Love exploring the world above all !
Music
Jazz

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