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Valentin M.

ML engineer

Can work in or around Paris, Paris

  • 48.85661400000001
  • 2.3522219000000177
Propose a project The project will begin once you accept Valentin's quote.
Propose a project The project will begin once you accept Valentin's quote.

Location and workplace preferences

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

Preferences

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

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Reputation

Languages

Categories

Skills (19)

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 , Airflow)

Experience

Pubnative

Tech

Data scientist

Berlin, Allemagne

March 2018 - Today (4 years and 7 months)

  • Worked on an ad exchange with >100B 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

Tech

Business Intelligence Intern

Paris, France

April 2017 - August 2017 (4 months)

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

Tech

Business Intelligence Intern

Cité de Sydney Nouvelle-Galles du Sud 2000, Australie

June 2016 - August 2017 (1 year and 2 months)

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)

External recommendations

Check out Valentin's recommendations