Vanessa Ly Desjardins

data science manager

Greater Paris Metropolitan Region

About

➤ Where? ⏫ major player, leader in innovation 🔀 consulting (many missions) ⏩ start-up ➤ How? ★ I analyze the situation, goals and scenarii ★ I develop a solution, a technique and a technology ★ I explain ideas and concepts to make technology accessible for all ★ I coordinate teams and steps towards release ➤Why? ☀ I’m excited about data, turning everything into a brain-teaser ☀ Pedagogy makes things going forward, including and stimulating team members ☀ Synergy of team effort gives me energy and food for thought ➤ What now? ➸ a product I care about ✿ ➸ an amazing team ϟ ➸ technical lead on data ☜ ➸ big boost and visibility to the 🔝

Experience

  • LVMH Perfumes & Cosmetics (Permanent · 3 yrs)
    • Head of AI
      Sep 2024 - Present · 1 yr 10 mos

    • Data Science Manager
      Jul 2023 - Present · 3 yrs

  • Product Data lead at Doctolib
    May 2022 - Jun 2023 · 1 yr 2 mos

    Founded in 2013, Doctolib is the e-health leader in Europe. Doctolib improves the daily lives of more than 300,000 healthcare personnel thanks to innovative medical software. Doctolib also makes access to healthcare fast and equal: more than 60 million Europeans book their appointments and manage their health via Doctolib, in a secure way. In over 30 cities of France, Germany and Italy, more than 2,500 Doctolibers are dedicated to having a positive impact on the healthcare industry.

  • AXA en France (Permanent · 3 yrs 10 mos)
    • Lead data scientist & actuaire
      Jul 2020 - May 2022 · 1 yr 11 mos

    • Data Scientist
      Aug 2018 - Jul 2020 · 2 yrs

      Pricing optimization for online product of AXA (direct) Lead data scientist for the creation and pricing of an insurance product for the direct market (online) - 360° vision of the insurance product: conception, legal, partners, distribution, UX, pricing - Pricing optimization with constraints of profitability, long-term value and volume - Modelling demand, elasticity and clients behavior through machine learning - Pricing of around 300 K policies per year (generating 150 M€), increasing of 7%/year - A/B testing of models, analysis and monitoring performances and KPIs - Analysis of market to study profitability - Recommendation algorithm

  • Data scientist at Artefact
    May 2017 - Jul 2018 · 1 yr 3 mos

    Multiskilled Data Science experience in a fast growing Digital & Tech company. Missions : • Create the main features of a voice bot on pioneering Google Home:Interpretation and recommendation algorithm, involving clustering (eg k-means) and NLP (eg TF-IDF, word2vec…) • Monitor performance of GA campaigns for DMP • Draw personae from database Technologies: - Spark, Hadoop, Postgres, Dataiku DSS - ‎Google Cloud Stack : Bigquery, Google Cloud Storage - ‎Python, SQL, ElasticSearch - ‎Dataviz (Tableau, Datastudio...) - ‎Analytics, Marketing specific tools and technologies (GA) Machine learning: - Recommendation algorithm: clustering, k-means… - NLP: word2vec, TF-IDF… Business: - Client facing with Digital, Marketing & Data divisions from renowned clients - ‎Driving infrastructure, tech choices and evangelization in commercial proposals and client meetings - Conducting workshops Other: - Lecture at ESSEC in the Big Data Analytics class