Freelancer profile translated to English.
Back to original languageAbout Marie-Anne
After multidisciplinary higher education and a specialization in economic and social sciences where I acquired solid skills in data analysis, I chose to train in programming and then in Data Science at Ecole 42.
My atypical background and professional experiences have allowed me to develop technical skills and a capacity for synthesis and analysis that lead me to approach data science projects with pragmatism.
English
Fluent
Spanish
Conversational
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- CREDOCData ScientistRESEARCHJuly 2018 - January 2019 (6 months)Paris, FrancePrediction of events :> using machine learning classification algorithms> implementing an algorithm that optimizes the dataset in order to improve results> developing a command line interface (CLI) which automates the use of the modelsNLP research project to automatically identify consumers discontents on Twitter :> performing an in-depth survey of previous works about sentiment analysis and Tweets classification> making text normalization> using classification algorithmsFollow-up of an application project based on data analysis :> presenting and summarizing the data part to the project staffWriting projects's synthesis reports (written documents and PowerPoint presentations)
- VocalcomData Scientist (R&D)SOFTWARE PUBLISHINGApril 2019 - May 2022 (3 years and 1 month)Paris, France> Animation of workshops with product teams to understand business needs, and translate them into machine learning solutions> Design and research of adequate solutions based on latest publications and several data sources, and feasibility tests according to various constraints> Conception and development of features in coordination with the feature team> Development with high quality standards> Communication about the solutions to technical and non-technical teams (oral and written)> Implementation of monitoring solutions and improvements through data pipelines and analysis
- Ministère de l'Economie et des FinancesDeveloper - Data ScientistPUBLIC SECTORFebruary 2018 - June 2018 (5 months)Paris, France> Centralizing needs regarding data> Development of a restitution data platform (Javascript MySQL CSS/HTML and Python, using Flask framework)> Implementing an algorithm to extract data from several document types (Python)
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Education
- Computer Science (Level 12)Ecole 42> Piscine C : one-month selection competition to join 42. Learning C language basis : making exercises individually and group projects (like a Sudoku solver). As the rest of the formation at 42, it is based on peer learning, which promotes autonomy and knowledge sharing. >Individual Projects: - Libft : standard C library recoding - Printf : printf C function recoding - Push swap : algorithm project to sort a pile of numbers in C - Lem_in : pathfinding algorithm in C > Piscines pédagogiques: Two-weeks intensive formations to learn a language’s basis. Piscines combine exercises during the weeks and projects in pairs during week-ends. - Piscine PHP (Javascript, MySQL, CSS/HTML) : development of an e-commerce website - Piscine C++ : development of a Space Invaders type game > Group Projects: - Corewar : programming game in which two or more battle programs (called "warriors") compete for control of a virtual computer (languages : C and ASM) > 2 months in 42 US campus (Fremont, CA)
- Master 2 Public Policy and Opinion - studies, surveys and evaluationUniversité Paris Dauphine2016> Quantitative methods : statistics (theory and application on SPAD and SAS), large surveys > Public policies evaluation > Sociology and political sciences fondamental courses > Master’s thesis on professional trajectories (qualitative methods)
Certifications
- AWS Cloud PractitionerAWS
- TensorFlow certified developerTensorFlow