Marie Schiltz
Data AnalystCo-founder @ Proskope
Proskope
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Co-founder @ Proskope
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
Master of Science (M.S.), Management Science and Engineering
January 1, 2016 – January 1, 2017
École Polytechnique
Diplôme d'ingénieur, Technological Innovation - Computer Science
January 1, 2013 – January 1, 2017
Proskope
Board Member
March 1, 2026 – Present
Proskope
Co-Founder
April 1, 2023 – February 1, 2026
Freelance
Freelance
April 1, 2022 – April 1, 2023
FarmWise
Lead Machine Learning Engineer & French Team Lead
October 1, 2020 – April 1, 2022
FarmWise
Lead Machine Learning Engineer
June 1, 2019 – October 1, 2020
FarmWise
Machine Learning Engineer
January 1, 2018 – June 1, 2019
Columbia University in the City of New York
Course Assistant - Operations Consulting
September 1, 2017 – December 1, 2017
Locus Energy
Data Scientist Intern
May 1, 2017 – August 1, 2017
San Francisco Bay Area
Columbia University in the City of New York
Course Assistant - Data Mining
January 1, 2017 – May 1, 2017
Louis Vuitton
Part-Time Consultant • Data Science Project
September 1, 2016 – May 1, 2017
Greater New York City Area
Imperative Fund
Part-Time Consultant • Data Science Project
September 1, 2016 – May 1, 2017
Greater New York City Area
Fluid-Screen
Data Analyst Intern
March 1, 2016 – July 1, 2016
Boston, USA
Jumia - Africa Internet Group
Data Scientist Intern
June 1, 2015 – August 1, 2015
Paris, France
Jumping de l'X
Vice President
April 1, 2014 – June 1, 2015
XProjets - Junior Entreprise de l'Ecole Polytechnique
Member of the Board, Consultant for Engineering Projects
April 1, 2014 – November 1, 2015
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies (startups, established firms, academic institutions, non-profits) and roles (engineer, analyst, consultant, co-founder) suggests a high degree of adaptability and a broad perspective. Their involvement in student associations and consulting projects indicates a proactive and engaged approach. The progression from Machine Learning Engineer to Lead and then Co-Founder demonstrates ambition and a growth mindset, which generally aligns well with dynamic work environments. The target role of Data Analyst is a good fit given their foundational experience in data science and analysis, although their recent roles have been more focused on Machine Learning Engineering.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and Board Member, along with leadership roles at FarmWise and student associations, suggests strong leadership, initiative, and project management skills. Their diverse project experience, including consulting and academic assistant roles, indicates adaptability and a collaborative mindset. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.