Damien Wetterwald
Director Of Analytics at DEPsys SA- Claim this Profile
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English Native or bilingual proficiency
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French Native or bilingual proficiency
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Spanish Limited working proficiency
Topline Score
Bio
Credentials
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Micromaster in Statistics and Data Science from MIT - Grade A, top performers. Machine Learning and Deep Learning
MITx on edXJan, 2020- Oct, 2024 -
Business Relationship Manager Profesional
Business Relationship Management Institute (BRM Institute)Jan, 2019- Oct, 2024 -
Disruptive Innovation Strategy with Clayton Christensen
Harvard Business School OnlineJan, 2017- Oct, 2024
Experience
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DEPsys SA
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France
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Architecture and Planning
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Director Of Analytics
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Oct 2019 - Present
Data science:• Data science manager to increase the insights and value of data for our customers• Establish data management practices to scale analysis of sensor data• Business case on digitalization and analytics for our customersBusiness development:• Analysis of market dynamics, client needs, job stories which define our value proposition and go-to-market strategy• Structure our market intelligence, so it can be leveraged for strategic decisions or product development
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Louis Dreyfus Company
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Netherlands
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Food and Beverage Manufacturing
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700 & Above Employee
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Global head of Data Science, member of IT leaders
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Nov 2016 - Aug 2019
Louis Dreyfus Company - 20.000+ Employees / US$34 billion RevenueLaunched and scaled a new department leveraging data science for the group with a project team of 4 ( scaled up to 12 Data Scientists).• Designed and executed the department data analytics strategy for core trading activities;• Led the "Business Intelligence & Data Science" product development team;• Microsoft Azure cloud (Data Factory, DataLake, Machine Learning, Power BI);• Chaired a data science community across multiple regions.This role was also coupled with a responsibility of program manager for IT innovation, at group level (Blockchain, RPA, Satellite imaging, Drones, Payment systems). Two of those prototypes were successfully deployed at enterprise level after proving value.
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Head of Product Management: Risk, Compliance and Financial Reporting (BI)
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Jan 2014 - Oct 2016
Owned the IT product portfolio for Risk, Compliance and P&L Reporting globally (5 regions).• Business Intelligence products (off-the-shelf BI tools + custom developments). I managed 4 product managers, and we delivered with suppliers in Switzerland, France, Italy, UK, Ukraine, and China;• Prioritized the product development roadmaps, successfully converging on business strategies during a period of high risks and heavy regulations;• Organized the operations of the products (RUN), we achieved High Availability on 2 key risk applications.• Budgeted and delivered at budget (7 figures yearly). Consistently consumed within 5% while delivering agreed scope.
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Project Manager, Credit Risk
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Jun 2012 - Dec 2014
I led the delivery (agile methodology) and adoption of a new Credit Risk system from business requirements to deployment (3 phases - 2.5y).The new system replaced a legacy of multiple tools used differently in all regions of the world. We harmonized the user experience in a web-based platform for analysts and management.Credit Risk calculations were reviewed and adapted to our business structure. This led to several improvements, from optimization of payment risk to integration with Market Risk for better daily Mark-To-Market assessment.The project included all steps of a product development life-cycle with a mix of internal employees, vendor teams and consultants.User satisfaction >95% "Very satisfied" across all 5 continents!
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Market Risk Analyst
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Jul 2010 - Jun 2012
Analyst for our commodity platforms:Commodity Portfolio Market Analysis (correlations, volatilities, market structures).Stress testing of historical or unexpected events.Risk simulations and feedbacks on trading strategies.Review of Pricing methodologies.Market risk lead analyst for Coffee, Sugar, Cotton.IT Functional Expert:Functional SME for Market Risk System evolutions.Improved transparency of tasks and processes in the Market Risk System.Worked with the IT team to reduce manual operations by 85% (from 8h daily to less than 1h).
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Institute for Infocomm Research
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Singapore
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Research
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300 - 400 Employee
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Machine Learning & Software developer
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2009 - 2010
Developer - image recognition application through a cellphone. (C++, C# on Windows Mobile 6.0)K-nearest neighbors algorithm: Recognition / classification of newly captured images.Early machine learning techniques.Algorithms to improve speed, accuracy, user experience.
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Illinois Institute of Technology
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United States
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Higher Education
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700 & Above Employee
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Research assistant
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2009 - 2009
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Student assistant
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2008 - 2009
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Aequalis
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Information Technology & Services
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1 - 100 Employee
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Software developer
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2008 - 2008
Intranet development for CRM improvement. PHP, Javascript.
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Education
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Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble
Master of Science -
Illinois Institute of Technology
Master