Freelancer profile translated to English.
Back to original languageAbout Guillaume
Interested in finding hidden patterns in data, my experience in Accounting Management has progressively brought me closer to Data Analysis, and in particular to statistics and Data Visualization. I therefore embarked on a self-training path (Mathematics, Statistics, Programming, BI tools) completed by a professional title of Data Analyst (equivalent to Master's degree) with ENSAE Paris and carried out on the OpenClassRooms platform. Thanks to my experience in training and project management, I am also capable of leading and training teams.
French
Native or bilingual
Can work on-site
Grenoble (up to 50km), Lyon (up to 50km), Chambéry (up to 30km)
Experience
- Lyon Ynov CampusData Trainer - PythonEDUCATION AND E-LEARNINGJanuary 2024 - Today (2 years and 5 months)Lyon, FranceBachelor 2 - Data analysis and manipulation in Python:- clean a dataset- explore data using statistical and mathematical methods (clustering, classification, extraction, segmentation...) as well as visualization techniquesBachelor 3 - Advanced Python:- Manage Python environments- Manipulate files with Python- Parse XML, Json data streams- Organize and publish Python code
- ESGITrainerEDUCATION AND E-LEARNINGJanuary 2024 - Today (2 years and 5 months)Grenoble, FranceCourses for Bachelor 2 students:- Discover univariate, bivariate, and multivariate analyses to explore data- Univariate measures, Chi-squared test, ANOVA, and correlation coefficient- Multiple linear regression, logistic regression, Principal Component Analysis, k-means clustering, and Hierarchical Classification- Regressions: mixed linear, Poisson, Penalized, Clusterwise, and regression trees- Classification trees, Support Vector Machine, Random Forest, Multiple Correspondence Analysis, neural networks
- Greta de GrenobleOffice 365 & Digital TrainerEDUCATION AND E-LEARNINGOctober 2019 - Today (6 years and 8 months)Grenoble, France- Certified training (ICDL) up to advanced level on Excel, Word, Powerpoint and digital literacy. Introduction to Data with the PowerPivot module in Excel.- Varied teaching methods (demonstrative, interrogative, active, experimental), use of diverse training materials (Teams, Google Drive, Padlet, Kahoot, Powerpoint, Prezi), remote sessions on some days (Teams video conferencing, use of small group rooms)
Recommendations
FU
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Education
- Data AnalystENSAE Paris, OpenClassRooms2022Data Analyst, Data
- M2 EducationUniversité Joseph Fourier (Grenoble I)2014M2 Éducation
Certifications
- Introduction to Power BIUdemy2020
- Data Science from A to ZUdemy2020