Freelancer profile translated to English.
Back to original languageAbout Melchior
🏆 Super Malter 3 and Top 5% of Freelancers on the platform
🎓 Graduated from ENSAE, GA4 and dbt certified
⭐ Rated 5/5 on several missions
Having been involved in data for several years, I have gone through all the data professions, and I enjoy carrying out a project from A to Z with all the skills acquired. Today, I am mainly solicited for projects around generative AI and I take great pleasure in exploring these new technologies.
However, my full stack side allows me to be comfortable on the following steps:
🔧Data Engineering:Data retrieval via different sources (API, SQL / NoSQL database ...) using different ETLs, storage in different formats depending on the need
-> My favorite tools: Airflow, Python
✨ **Transformation**: Setting up transformation pipelines via dbt or SQL scripts with cost optimization and the implementation of tests for data quality.
-> My favorite tools: dbt, SQL, Python
📊Data Analysis:Ad-hoc analysis and dashboarding (Tableau, Power BI, Looker...) to extract information allowing you to make decisions and answer various questions.
-> My favorite tools: Jupyter Notebook, Google Data Studio (Looker Studio), Superset, Looker
🚀AI:I support companies in the implementation of language models (LLM) and intelligent conversational agents. My expertise covers the customized integration of solutions such as chatbots, or the development of autonomous AI agents to automate your business processes. From needs analysis to deployment, I guide you in creating concrete applications that fully exploit the potential of these advanced technologies.
-> My favorite tools: LangChain, API
Do not hesitate to contact me to get the most information from your data,
See you soon!
English
Fluent
French
Native or bilingual
Can work on-site
Paris (up to 10km)
Experience
- Brut.Analytics Engineer / Data AnalystPRESS AND MEDIAMay 2024 - Today (2 years and 2 months)Paris, FranceData and AI consulting at Brut, focused on analyzing user behavior, optimizing costs, and supporting teams via LLMs.🤖 Data governance: implementation of a rigorous validation and quality control framework, ensuring the reliability of data collected across all platforms.🤖 Behavioral analysis: conducting in-depth exploratory analyses to decipher platform usage and optimize content strategy.🤖 Data democratization: designing dashboards and visualizations adapted to the different levels of data maturity of the teams, facilitating access and understanding of insights.🤖 Technical optimization: reducing infrastructure costs by optimizing dbt models and data transformation processes.🤖 AI Innovation: integration of language models (LLM) to increase team productivity.🤖 Social listening: Massive analysis of comments on media publications
- Ils m'ont fait confianceVarious missionsFebruary 2023 - Today (3 years and 6 months)Other notable missions carried out for various clients mainly around automation, data analysis and generative AI.
- Tomorro
- Les Sherpas
- Accor hotel
- Ornikar AssuranceAnalytics Engineer / Data AnalystINTERNET OF THINGS (IOT)May 2023 - May 2024 (1 year)Paris, France👉 Construction of reports to be transmitted to partners using dbt with dbt👉 Modeling and analysis around payment (customer lifecycle, unpaid bills...)👉 Development of dashboards on Metabase and Looker Studio👉 Ad-hoc analyses around different themes of car insurance👉 Ingestion of different data via Airflow with creation of pipelinesStack: Python, dbt, Bigquery, Airflow, Metabase, Looker Studio
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Education
- Specialized Master in Data ScienceENSAE Paris Tech2020Mastère spécialisé permettant d'acquérir un profil technique en analyse statistique et gestion des données massives. La formation reposait sur deux pilliers : - Théorique : Apprentissage statistique, Statistique bayésienne, réseau de neurones, Natural Langage Processing... - Technologique/logiciel : Outil de gestion de bases de données (NoSQL,SQL), données distribuées (SPARK), programmation GPU... L'ensemble de ces compétences ont été développés à travers des projets réalisés durant l'année.
- Master 2 in Financial Statistical EngineeringUniversité Panthéon-Assas2019Formation proposé en alternance, elle est essentiellement tourné vers les domaines de la finance et de l'assurance, elle permet d'apprendre à maitriser l'analyse quantitative des données économiques et s'articule sur un triple compétences : - Statisticien économètre : Séries temporelles, calcul stochastique, Modèle de durée ... - Informaticien : SAS, VBA, C/C++/C#, SQL, Python ... - Economiste : Théorie du portefeuille, Econométrie des marchés financiers, Econmie expérimentale...
Certifications
- Neural Networks and Deep LearningCoursera2020
- Google Analytics CertificationSkillshop2024