Vincent TO

Ecole Polytechnique, PSL University, Paris-Saclay University, Centrale SupΓ©lec, TΓ©lΓ©com Paris

Amundi Asset Management: Development of AI & Data Tools for Amundi’s General Inspection

Since September 2023

  • πŸ€– Development of Artificial Intelligence & Data Science solutions in Internal Audit context.
    • πŸ“RISE
      • Report Improver and Synthesis Enhancer
      • 🌐 GenAI Web Application on Gradio User Interface (UI) hosted on Azure Cloud. ☁︎
      • πŸ•΅ Tool developed for Amundi’s Internal Auditors, Deputy and Head of Assignments.
      • ⚑Based on the OpenAI’s API and the latest ChatGPT model, with data confidentiality duly ensured and maintained by Amundi’s Datalab.
    • 🚨 RISK
      • Risk Investigations & Sampling Kit
      • 🌐 Data Analytics & Sampling Web Application with Gradio UI hosted on Azure Cloud.
      • πŸ•΅ Tool used by auditors in risks investigations related to breaches (passive, active, temporary and persistent).
    • πŸ“‹Excel Keywords Search
      • πŸ’¬ Advanced Keywords Search using Natural Language Processing Algorithms: Fuzzy Search (Python’s FuzzyWuzzy & RapidFuzz libraries) and Regular Expression (RegEx).
      • 🌐 NLP Web Application with Gradio interface hosted on Azure Cloud.
    • πŸŽ“ Automated Training Check
      • 🌐 Data Analytics Web Application with Gradio UI hosted on Azure Cloud.
      • πŸ•΅ Automated verification of employee training (verification of training dates, attendance, success rate, etc.).
  • πŸ“Š Development of Business Intelligence solutions:
    • KPI/KRI Dashboards in Power BI for:
      • 🚧 Incidents Management
        • KPI/KRI on IT & Operational incidents, bug & issue tracking, etc.
        • Fast processing of extractions by auditors.
      • πŸ’΅ Portfolio Monitoring
        • Dataviz of AuM, Portfolio Performance & Benchmark, etc.
        • Automated workflow with Python & Gradio UI.
  • πŸ—‚οΈ Exhaustive Documentation, User Guide & Tutorial Video for all tools deployed.

BNP Paribas Cardif: KPI/KRI Dashboards Automation

September 2022 – September 2023

  • πŸ“Š Automation of KPI/KRI dashboards in Power BI, upstream data processing.
  • πŸ—‚οΈ Writing documentation for updating data, creating or modifying dashboards.

French Ministry of Justice: Investigation and Analysis Platform βš–οΈ

May 2022 – August 2022

  • πŸ“‹ Provide the SPHINX survey and analysis tool and carry out the functional and technical monitoring of the application for the entire Ministry of Justice, whether for the central administration (also called “Chancellerie”) but also for the decentralized services.
  • πŸ—‚οΈ Writing documentation for the use of SPHINX (survey, dataviz & web reporting creation) for a non-expert audience.

CNRS (French National Centre for Scientific Research): Industrial Dynamics of Artificial Intelligence

October 2021 – April 2022

  • πŸ”¬ Research project in collaboration between CNRS, University of Bordeaux, University CΓ΄te d’Azur and CY Cergy Paris University.
  • πŸ’Ύ Development of a database that will serve as a starting point for several scientific publications.
    • Data structuring on R (data processing, pattern recognition, regular expression) collected by web scraping.
  • πŸ“ˆ Econometric data analysis: linear & logistic regressions, multi-factor anova, hypothesis testing.

University of Paris & CY Tech: Web development

February 2021 – May 2021

  • πŸŽ“ Academic project at CY Tech
    • πŸ›οΈ Formerly known as EISTI (International School of Information Processing Sciences).
    • πŸ›οΈ Creation of an online store on WampServer.
    • πŸ’» Programming languages used: HTML, CSS, JS, PHP, MySQL.

March 2019 – June 2019

  • πŸŽ“ Academic project at University of Paris (currently Paris CitΓ© University)
    • 🎨 Realization of a website with a cultural scope on street art.
    • πŸ’» Programming languages used: HTML, CSS, JS, PHP.

Applied mathematics:

September 2019 – Mars 2020

  • πŸ”’ Academic project in fractals and Chaos Theory at University of Paris
    • πŸ’» Study on fractals, simulation on Python and writing of a report on the Gumowski-Mira attractor.

February 2019 – June 2019

  • πŸŽ“ Acamic project in data science at University of Paris
    • πŸ“‹ Realization of an INSEE (French National Institute of Statistics and Economic Studies) Premiere sheet. Univariate and bivariate descriptive analysis of the dataset.
    • πŸ’Ύ Creation of clusters on our database. Analysis and comparison of these clusters.
    • πŸ—£οΈ Oral presentation of the results and conduct of the project (provisional schedule, project management and work method)

May 2019 – June 2019

  • πŸŽ“ Academic project in statistics at University of Paris
    • πŸ“ˆ Calculate the trend of the time series by the method of least squares and by moving averages.
    • πŸ“Š Select the decomposition model (additive or multiplicative) of the series.
    • πŸ“‰ Calculate the seasonal variations and the Corrected series for Seasonal Variations (CSV) respecting the decomposition model.
    • βš–οΈ Judge the choices of method and model made and the trend values and seasonal variations obtained by the analysis of the adjusted series.
    • πŸ” Predict values of the time series after the last year of observation.

CY Entreprendre: Entrepreneurship

May 2021 – July 2021

  • πŸ’‘ Student entrepreneur at the student center: CY Entreprendre
    • πŸ† Finalist of the Entrepreneurship Trophy, “Innovation” category.
    • πŸ› οΈ Development of a business project that is both desirable, economically viable and technically feasible: development of a financing plan, realization of a business plan, production of a landing page and prototyping of an application.