About Nathan
Eager to succeed in everything I do, my choices are adapted to my professional goals. My rigor and organization has helped me to apprehend the workload. I have often undertaken several activities at the same time. This has allowed me to acquire an agility and adaptibility that will also be indispensable for any other work opportunities.
French
Native or bilingual
English
Fluent
Can work on-site
Nîmes (up to 50km)
Experience
- Royal Canin
On Malt
Data EngineerDecember 2023 - June 2024 (7 months)Nîmes, France📊 Data Engineering👉 Engineer and orchestrate data flows & pipelines using high quality, easily deployable, repeatable and extensible codebases that ingest and integrate data from many disparate data sources in a cloud environment using a progressive tech stack.👉 Design and build complex data models to support performant and accurate analytical insight, science research and marketing activation purposes removing excessive data preparation from the solution users to expedite their processes and reduce effort duplication and subsequent errors.👉 Supporting the global data engineering lead to adapt data architectures, analytical data platforms & related processes (i.e. designing and specifying data structures and processing frameworks based on local functional and technical requirements.)👉 Developing local strategies for data acquisition and democratizatio👉 Managing data transformation and troubleshooting data processing issues📊 Data Security and Compliance👉 EU Platform Support, alerting and monitoring to ensure high platform reliability in compliance with Mars Cyber Security Standards and Privacy Policies📊 Data Management and Governance👉 Data Lifecycle Management through Global Metadata and Access Control Management👉 Partner with functions and divisions to ensure Royal Canin data capabilities roadmap, operating model and governance principles are best serving the organization data strategy and are effectively activated across Royal Canin Europe - Royal CaninINTERN - Data EngineerAGRICULTUREJune 2023 - December 2023 (6 months)Aimargues, France📊 Data Engineer on Direct To Pet Owner domain.👉 Python programming (Databricks, PySpark, pysftp, API requests, Unit tests, Lint testing,CI/CD).👉 Pipelines creation and management (Azure Data Factory, Azure DevOps).Collaboration with different experts (Data Scientist, Data Analyst, Data Architect,Marketing, Business, etc.)
- Consort GroupData Scientist ~ End of study projectCONSULTING AND AUDITSOctober 2022 - April 2023 (6 months)Paris, France📊 𝙏𝙝𝙚 𝙛𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙖𝙡 𝙨𝙘𝙤𝙥𝙚 𝙤𝙛 𝙩𝙝𝙚 𝙢𝙞𝙨𝙨𝙞𝙤𝙣 𝙞𝙨 𝙙𝙚𝙛𝙞𝙣𝙚𝙙 𝙖𝙣𝙙 𝙜𝙪𝙞𝙙𝙚𝙙 𝙗𝙮 𝙖 𝙏𝙚𝙘𝙝 𝙡𝙚𝙖𝙙𝐓𝐡𝐞 𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐢𝐬 𝐭𝐨 𝐩𝐫𝐞𝐝𝐢𝐜𝐭 𝐭𝐡𝐞 𝐌𝐕𝐏 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫 𝐍𝐁𝐀 𝐬𝐞𝐚𝐬𝐨𝐧. 👇👉 Scrapping the statistics since 1980 of each player(𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 𝒖𝒔𝒆𝒅 : 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦, 𝐁𝐞𝐚𝐮𝐭𝐢𝐟𝐮𝐥𝐒𝐨𝐮𝐩, 𝐒𝐐𝐋𝐢𝐭𝐞𝟑)👉 Cleaning and transformation of data from the previously created SQL database.(𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 𝒖𝒔𝒆𝒅 : 𝐩𝐚𝐧𝐝𝐚𝐬, 𝐧𝐮𝐦𝐩𝐲, 𝐒𝐐𝐋𝐢𝐭𝐞𝟑, 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐓𝐨𝐨𝐥𝐬)👉 Prediction of the MVP 2023.
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Education
- Engineer in applied mathematicsCY Tech2023𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 • 𝐍𝐮𝐦𝐞𝐫𝐢𝐜𝐚𝐥 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • 𝐃𝐚𝐭𝐚 𝐦𝐢𝐧𝐢𝐧𝐠 • 𝐃𝐚𝐭𝐚 𝐞𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 • 𝐎𝐛𝐣𝐞𝐜𝐭-𝐨𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 • 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴 • 𝗔𝗜 • 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 • 𝗚𝗿𝗮𝗽𝗵 𝗧𝗵𝗲𝗼𝗿𝘆 • 𝗣𝗮𝗿𝘁𝗶𝗮𝗹 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁𝗶𝗮𝗹 𝗘𝗾𝘂𝗮𝘁𝗶𝗼𝗻𝘀 • 𝗖𝗼𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗦𝗲𝗻𝘀𝗶𝗻𝗴 • 𝗟𝗶𝗻𝗲𝗮𝗿 𝗠𝗼𝗱𝗲𝗹 • 𝗟𝗶𝗻𝗲𝗮𝗿/𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • 𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 • 𝗢𝗯𝗷𝗲𝗰𝘁 𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 • 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 • 𝐒𝐨𝐜𝐢𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐖𝐞𝐛 𝐚𝐧𝐝 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐞𝐫𝐬 • 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 • 𝗔𝗜 • 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥 • 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 • 𝐌𝐮𝐥𝐭𝐢𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐚𝐭𝐢𝐨𝐧 • 𝐁𝐈 & 𝐁𝐈𝐆 𝐃𝐀𝐓𝐀 • 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧 • 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 • 𝐍𝐋𝐏
Certifications
- Machine Learning Stanford UniversityCoursera2020
- Introduction to Data Science in PythonUniversity of Michigan2021