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Guilhem Raffray

Guilhem Raffray

Certified

Data Science Lead

Transcend

Technologies

My Portfolio Highlights

My New Project

Clustering Antarctic Penguin Species

My New Project

Clustering Antarctic Penguin Species

Data transcendant, transforming raw numbers into a masterpiece of understanding.

My Work

Take a look at my latest work.

github

Urban footprint prediction

PythonSQL
github

Urban footprint prediction

PythonSQL

My Certifications

These are the industry credentials that I’ve earned.

Python Data Associate

Python Data Associate

SQL Associate

SQL Associate

Data Scientist Associate

Data Scientist Associate

Data Literacy

Data Literacy

Other Certificates

Datacamp Python Data Associate

Datacamp Data Literacy

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Stackeo | Jul 2019 - Present

Product Innovation Manager & Data Science Lead, Co-Founder

As co-founder of Stackeo, I developed a B2B SaaS solution for decision makers in IoT. I was mainly in charge of leading the Product Discovery at crossroads with Strategy, Business and Customer Success challenges. My main tasks were: - leading Product Market Fit research, - driving user research & building Ideal Customer Profile, - prototyping MVP (Minimum Viable Product) and patenting features, - delivering in app using agile development practice in CI/CD. When co-managing a startup, I had to build a Business Plan, investigate Market, Set priorities and driving by impact, Hire talented coworkers, work on fundraising, convince in business meetings, participate in showcases and events. Company pitch: Stackeo is a SaaS company helping enterprises to industrialize their connectivity and IoT (Internet of Things) solutions at scale. We provide a suite of tools to articulate IoT strategy, align IT/OT teams and pilot sustainable value chains. Stackeo develops the concept of IoT-Architecture-as-Code, based on StackML, a dedicated modeling language and a patented systemic methodology.
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Cosmo Tech | Jun 2015 - Nov 2018

ML and Simulation engineer then Product Manager

Lead various projects of development of B2B SaaS applications for strategic decision making for large industrial companies. - Bring technical support in sales meetings - Lead product development (MVP) - Lead workshops with C-level clients - Investigate product market fit for every MVP - Code complex system simulations and ML algorithms (C++, python) Some relevant missions details Client: Nexans Role: Project Manager Subject: Product Market Fit of an Asset Management SaaS solution Key results: Built strong partnership with CAC40 company. Reached the EU DSO market. How? Conduct user research (buyer persona and ICP), Test value proposition, Make product demo and sales material kit, Build trust with SME decision makers Client: Solvay Role: Product manager Subject: Reduce downtime in Oil&Gas industry Key results: Delivered a SaaS MVP combining a data pipeline (ETL), a predictive simulation tool and BI dashboards (plant OEE) How? Work on site with Process Plant Management team, Understand industrial challenges and convert it into product needs, Deep dive in the process science, Lead product development Client: Veolia - Sedif Role: AI expert developer Subject: Crisis Management for Water supply network distributing 10M people "ServO" Key results: Delivered a product feature for finding optimal operation plan How? Conducted functional analysis, Created ad-hoc multi-criteria optimization tool on graph topology, Implemented custom Genetic Algorithm and Ant colony Algorithm (C++), Test at-scale on real datasets Client: Petrogal, Dow Chemicals, Fertinagro - TOP-REF Role: Project manager Subject: Increase process performance in Oil&Gas and Chemicals industry Key results: On-site deployment of a Machine Learning solution for process optimization, Proven results published, Define EU standards How? Benchmark of ML tools, Built Surrogate model using Kriging (Python, Scikit-learn),

CIRAD | Sep 2011 - Oct 2014

PhD : Multiple Criteria Decision Analysis for Food Process Design in Southern Countries

and processes of the food industry. In southern countries, the dramatic rise of demand drives the need of improving existing traditional processes at industrial level. In this thesis, it was attempted to develop some rational mathematical method to deal with the multiplicity of objectives that have to be simultaneously satisfied when designing some food process. It was applied to the specific case study of the hot-smoking process for the production of traditional smoked catfish in an African context. First, a model was built and proved to be able to predict the process behavior with coherency. Then, the global optimization method enables to find very efficient and satisfactory design solutions. This original work raised the difficulties of the design activity in the food industry sector, especially the lack of relevant expert data.

TREFLE Laboratory - CNRS | Sep 2010 - Feb 2011

Engineering Internship in Solar Power and Phase Change Materials (PCM)

Project of developping new devices for rapid thermal caracterization of PCM, which has growing domains of application in thermal energy storage for CSP (Concentrating Solar Plants) or Buildings energy savings (HQE Buildings in France). Studies of long-term behaviours' caracterization, and High temperatures modelling. Studies on undercooling characterization with thermal camera.

Nordic Environment AEMN | Jul 2009 - Jan 2010

Engineering Internship in Wind Power Resource Predication

Developed post-processing of meteorological data of Large Eddy Simulation Model (LES) in a Linux environment. Studied fluid mechanics of both boundary layer meteorology and turbulence Worked with Canadian Numerical Weather Prediction models

MGP Instruments | Oct 2007 - Nov 2007

Technical Internship in Electronics

Optimized an antenna according process of a mass production device Took part in negotiation with foreign suppliers NB : MGP Instrument is the global leading company of both Dosimetry & Radiation monitoring systems ; Part of Mirion's Group.

My Education

Take a look at my formal education

Doctor of Philosophy (PhD), Applied Mathematics for Process Engineering, Applied Mathematics for ...Montpellier SupAgro | 2014
Engineer's degree, Mechanical and Industrial Engineering, Mechanical and Industrial EngineeringMétiers | 2011
Master of Science, MSc Mechanics and Energetics, MSc Mechanics and EnergeticsUniversité de Bordeaux | 2011
Physics, Mathematics, Industrial Sciences, Chemistry, Physics, Mathematics, Industrial Sciences, ...Lycée Thiers (Marseille) - Prépa Scientifique PSI* | 2007

About Me

Guilhem Raffray

As an experienced data scientist and AI product manager (10+ years in IT industry), I am focused on turning AI, ML and Data science principles into actionable services / products with high added value.

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