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Working in Planity's data team I mainly worked on:- redeploying the cloud infrastructure with Terraform- adding data collection from external sources using AWS Appflow and Fivetran- implementing new data pipelines on the AWS infrastructure mainly using S3, Glue and Athena- creating dashboards with Quicksight

Working for White Swan Data, managing the highest value product of the team I work in, I use Python and Kotlin to process and analyse data in order to improve our sport betting strategies and models’ performance. To do so, I build data pipelines for automatically collecting, processing and visualising data as well as finding ways to collect new data when not readily available. I also monitor our performance to ensure our strategies are performing as expected and do not leave any space available to our competitors.• Analysis and monitoring of results, interpretation and decision-making based on the data.• Building pipelines to collect, process, visualise and output data automatically.• Data manipulation (Numpy, Pandas, Kotlin primitive collections) and data visualisation (Matplotlib, Seaborn).• Scraping and using APIs (Python: Requests, Aiohttp and Regex - Kotlin: Okhttp3 and Kotlinx.serialization).• Asynchronous programming, tests and version control (Git, GitHub and GitLab).• Building Slack bots (mainly through Websocket)

Working as a Senior Solutions Developer for Ernst and Young – Working for the Data Analytics (DA) team and Professional Practice Director (PPD) in London.Working unsupervised, I mainly develop solutions for the PPD and DA teams. I identify their needs, recommend and plan solutions, develop and test them. I deliver finished and documented products reviewed by the DA team. • Developing and reviewing solutions in C#, Python, SQL Server and VBA. Using Agile methodology, databases, data science and RPA.• Data extraction, processing, analysis and visualisation (Alteryx, Python, Power BI, Excel and SQL Server) including the creation of ETL pipelines.• Business case for low code technology (Mendix) – assessment of functionalities, implementation, APIs, applications and limitations.• Giving training in VBA and Mendix, trained in machine learning.

Working as Transport Modeller and Data Analyst in Woking and London.• Rail revenue modelling. Supporting companies’ bids for operating UK rail franchise, reviewing submitted revenue forecast and building fares models both using logit and diversion model approaches. • Building, calibrating and using strategic transport models for both highway and PT.• Data processing, analysis and presentation mainly using Python, Excel, Access and PowerPoint (including VBA), SQL Server and ArcGIS. • Automation of processes and inputs/outputs creation.• Project Management of small and medium-size projects (<£100k).• Rail operation experience in LRT, passenger and freight trains.

Site foreman trainee on the renovation site of La Monnaie de Paris for Entreprise Boyer during 3 months.• Structural works and plastering, quotations, schedules, designs and maps.• Management of small teams of worker (5 to 10 workers) from Entreprise Boyer and subcontractors. Responsibility for the whole process: designing with the architects and the structural engineers, buying the materials, following planning and delivering to the client.• Creation of professional documents using Excel, AutoCAD and Microsoft Project.

- 3 weeks : worker in a workshop of aluminium carpentry- 1 week : design office (design of an invisible window frame)- 1 week : On-site follow up