Francois Rosselet
Bis 2019, Data Scientist | R Developer | Private Banking - Risk & Controling, AIM-Services
Nyon, Schweiz
Werdegang
Berufserfahrung von Francois Rosselet
Bis heute 6 Jahre und 10 Monate, seit Aug. 2017
Union Data Science and GIS Support Officer
IUCN
BUSINESS INTELLIGENCE | DATA SCIENCE -Gathered and documented new requirements related to data science for various proofs of concept (e.g. CRM, GIS infrastructure, ERP) -Data collection, clean-up, transformation, analysis (Python/Numpy/Panda/R/Knime) -Implemented automatized ArcGIS thematic mapping workflows -Designed innovative visualization and geo-visualization (Power BI, Tableau, dashboards,D3.js, Leaflet map) -Produced guidelines (Jupyter Notebook/ArcGIS Toolboxes-Models)
Bis heute
Senior Principal Data Transformation Analyst
IHS Markit
7 Monate, Juli 2018 - Jan. 2019
Data Scientist | R Developer | Private Banking - Risk & Controling
AIM-Services
Business Analytics: Significantly improved interactive dashboards flexibility and UI/UX to monitor and analyze bank risk exposures to markets (portfolio and positions views) Data Modeling: Successfully developed transparent (governance), automated data pipelines (web services (XML), databases (MySQL)) to replace 15 years old SAP BO / Lotus Notes workflows
Ausbildung von Francois Rosselet
Bis heute 6 Jahre und 7 Monate, seit Nov. 2017
Big Data
UC San Diego University | Coursera
-Big Data infrastructure -Big Data management system -Hadoop / MapReduce - NoSQL database / MongoDB - Machine learning / Spark - Graph database / Neo4j
Bis heute 6 Jahre und 8 Monate, seit Okt. 2017
Deep Learning
Deeplearning.ai | Coursera
- Multi perceptrons - Convolutional Networks (CNNs) - Sequence models (recurrent networks (RNNs, GRUs, LSTM),¨ - Natural language processing (NLP)
3 Monate, Feb. 2017 - Apr. 2017
Machine Learning
Stanford University, Coursera
Machine Learning, Linear Regression, Logistic Regression, Neural Network, Unsupervised training, K-Means, Matlab, Octave
8 Monate, Okt. 2016 - Mai 2017
Data Science Specialization
Johns Hopkins Bloomberg School of Public Health, Coursera
R, Data Science, Inferential Statistics, Data Products, Machine Learning, Reproducible Research, Data Transformation
5 Jahre und 8 Monate, Okt. 1994 - Mai 2000
Geosciences
Université de Lausanne
Field Work | Laboratory Works | Plate Tectonics Data Model | Structural Geology | Low-grade Metamorphism
Sprachen
Französisch
Muttersprache
Englisch
Fließend
Türkisch
Gut
Italienisch
Gut
Deutsch
Gut