Senior Data Scientist
April 2015 to December 2015
Data Scientist & Project Manager
April 2013 to April 2015
Toulouse Area, France
Argonne National Laboratory & University of Chicago
September 2011 to December 2012
Greater Chicago Area
DESY Forschungszentrum Berlin
September 2010 to September 2011
APC Lab, Paris
2007 to 2010
- Leading Data Science & Research projects - Analysis of the largest ever, TB-level, food social data set on a SQL environment - Predictive Modeling of trends using Natural Language Processing tools and Census data - Search Algorithm optimization (Scoring Technique) & Classification (Machine Learning techniques including Multinomial Naive Bayes) - Data Visualization (CartoDB, Python, Tableau, GA) - Leading Data Science & Research projects - Analysis of the largest ever, TB-level, food social data set on a SQL environment - Predictive Modeling of trends using Natural Language Processing tools and Census data - Search Algorithm optimization (Scoring Technique) & Classification (Machine Learning techniques including Multinomial Naive Bayes) - Data Visualization (CartoDB, Python, Tableau, GA)
What company does Guillaume Ph.D. work for?
Guillaume Ph.D. works for Handpick, Inc.
What is Guillaume Ph.D.'s role at Handpick, Inc.?
Guillaume Ph.D. is Senior Data Scientist
What industry does Guillaume Ph.D. work in?
Guillaume Ph.D. works in the Aviation & Aerospace industry.
Open-minded, analytical, optimistic, authentic, ambitious, pragmatic, passion-propelled and reason-driven. Specialties include: - Science & Data Science/Predictive Analytics: Numerical Modeling, Data Analysis & Visualization, Data Cleaning, Machine Learning, Distributed Computing, Natural Language Processing - Business: project management, small team management, communication and customer relationship Areas of interest: - Cyber Security - Deep learning technics (for Natural Language Processing and Image processing) - Geospatial dataSenior Data Scientist @ - Leading Data Science & Research projects - Analysis of the largest ever, TB-level, food social data set on a SQL environment - Predictive Modeling of trends using Natural Language Processing tools and Census data - Search Algorithm optimization (Scoring Technique) & Classification (Machine Learning techniques including Multinomial Naive Bayes) - Data Visualization (CartoDB, Python, Tableau, GA) From April 2015 to December 2015 (9 months) Data Scientist & Project Manager @ - Project management & Small team management - Science engineering for projects in Aerospace, Defense and Space weather - Remote Sensing & Geo-spatial Satellite Data cleaning, analysis and visualization (Python / QGIS) - Machine Learning - Monte Carlo - Bayesian Networks - k-means (Voronoi cells) - Numerical modeling (C++ / Python / Matlab) and image analysis of GPR Radar EM signal using FDTD technics - Defining and answering important statistical questions using satellite/radar data - Managing and reporting projects (international and nationwide) - Managing small teams within project frameworks - Doing business development and analytical R&D. Customers include the European Space Agency, the French Space Agency (CNES) and the French Defense Agency. From April 2013 to April 2015 (2 years 1 month) Toulouse Area, FranceResearch Scientist @ - Developed numerical tools and physics models for the optimization of a next-generation instrument. - Implemented hardware and financial constraints with all relevant technical staffs. - Created and lead the simulation chain (C++, Shell) using Monte Carlo technics and Grid Computing. - Analyzed results and evaluated expected performances. Achieved a 30% growth of instrument performances thanks to new analysis tools - Lead a small group of research assistants - Presented results and co-wrote a scientific proposal for the NSF ($3.8 million project) to fund a prototype From September 2011 to December 2012 (1 year 4 months) Greater Chicago AreaResearch engineer @ - Managed and analyzed data with statistics technics including machine learning (Boosted Decision Tree) - Optimized sensitivity of a current optical instrument using numerical tools. - Lead a classification project on the particle nature using regression of signal features (photons and hadrons signals don't share the same time/geometrical 'IDs') - Collaborated with hardware staffs to implement technical constraints in numerical models. From September 2010 to September 2011 (1 year 1 month) PhD Student @ - Hypothesis Testing for Cosmic Ray data. The question was "Are their arrival direction correlated with high energy objects?". The answer was derived from a statistical test using available data. - Global study of the High Energy Cosmic Rays with the Pierre Auger Observatory (Argentina) - Developed an in-depth analysis for the search of highest energies photons within the collaboration, using numerical simulation of photons in a grid-computing environment - Built a numerical model for the photon propagation with a view to future cosmic rays experiments - Data analysis of the INTEGRAL gamma-rays Satellite - Characterization of the cosmic rays background to extract the Cosmic X- ray Background (CXB) in a 200-500 keV range. - Generating statistical tools to emphasize the global expectations from different Universe models and source hypothesis and comparing them with the most actual data. - Using the statistical "percolation" method on the AUGER data - Conclusions and results reported in several papers and presentation during global meetings From 2007 to 2010 (3 years) Doctor of Philosophy (Ph.D.), Physics & Astrophysics, Magna Cum Laude @ University of Paris VII From 2007 to 2010 Master’s Degree, Physics & Engineering Science, A @ University of Paris VII From 2005 to 2007 Guillaume Ph.D. is skilled in: Data Science, Programming, Python, C++, Analysis, Machine Learning, Statistics, SQL, R, Physics, Project Management, Team Management, Numerical Simulation, Parallel Computing, MPI
Extraversion (E), Intuition (N), Thinking (T), Perceiving (P)
1 year(s), 7 month(s)
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