Valentin M.

data scientist / ML engineer

Moves to Paris, Paris

  • 48.85661400000001
  • 2.3522219000000177
  • Indicative rate €650 / day
  • Experience 2-7 years
  • Response rate 100%
  • Response time 1h
Propose a project The project will only begin when you accept Valentin's quote.

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Propose a project The project will only begin when you accept Valentin's quote.

Location and geographical scope

Location
Paris, France
Can work in your office at
  • Paris and 50km around
  • Paris and 15km around

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Verifications

Influence

Languages

  • Français

    Native or bilingual

  • Anglais

    Native or bilingual

Skills (18)

Valentin in a few words

I am a French data scientist with experience working in startups of different sizes and scales, in Australia (Sydney), France (Paris), and Germany (Berlin)

I have experience building ML pipelines that have to serve predictions under high load (millions to billions of events per day) and low latency (few milliseconds). (TensorFlow, TFS, Kubernetes, Scala)

Experience

Pubnative

High Tech

Data scientist

Berlin, Allemagne

March 2018 - Today

  • Worked on an ad exchange with ~40B auctions per day.
  • Explorations and modeling with terabytes of data with Jupyter, Spark, and TensorFlow.
  • End-to-end implementation and deployment of state-of-the-art machine-learning models to
  • predict winning prices of auctions:
* +35% in margin rate,
* no drops in revenue,
  • to reduce costs without dropping revenue by sending fewer requests:
* reduced traffic by 70%, saving +1M$ per year of network costs,
* no significant decrease in revenue.
  • I built the two APIs solving the problems mentioned above and:
  • I deployed them in 5 Kubernetes clusters worldwide,
  • they support A/B testing to iterate and try things faster,
  • they handle significant QPS.

Monbanquet

High Tech

Business Intelligence Intern

Paris, France

April 2017 - August 2017

Develop Monbanquet.fr's B.I. capabilities
- Scraped websites or used their APIs to create an input stream for business developers.
- Designed and implemented Google SpreadSheets for monitoring KPIs as well as to work with the data.
-- Customer Recovery
-- Business developers' tracking sheets
-- Sales team performance monitoring
-- Much more
- Designed the B.I. data structure to track relevant and accurate KPIs.
- Implemented solutions, using Go or Python, to keep the database up to date.
- Implemented, deployed, and maintained the ELK stack using Docker.
- Created aesthetically pleasing and accurate dashboards using Google Data Studio.

ShopWings

High Tech

Business Intelligence Intern

Cité de Sydney Nouvelle-Galles du Sud 2000, Australie

June 2016 - August 2017

Internship for ShopWings Australia where I worked on Business Intelligence related missions.

- Wrote scheduled scripts (Jenkins) to store and fetch data in the databases.
- Extensive use of Google products such as SpreadSheet and Apps Script to design easy workflows to visualize and analyze data.
- Web scraping with Scrapy or even Apps Script.
- Use of Python to do one-off tasks quickly.
- Some marketing with newsletters and the creation of emails in general. (HTML and CSS)
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