Thomas Vidori

Every lead not converted into a customer is a waste of time and money for companies... Sypher is an AI SaaS platform providing sales & marketing predictions to maximize your revenue: - Increase conversion rates by identifying criteria that influence lead progression through the funnel. - Lower your Customer Acquisition Cost by gaining deeper insights about your Ideal Customer Profile. - Maximize your revenue by spotting the warmest leads. Book a demo at : https://sypher.ai (Not another ChatGPT-based tool)

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