Dan Slama

data scientist

Remote from Paris

  • 48.8546
  • 2.3477
  • Indicative rate €650 / day
  • Experience 2-7 years
  • Response rate 100%
  • Response time 12h
Propose a project The project will only begin when you accept Dan's quote.

Availability not confirmed

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

Location and geographical scope

Location
Paris, France
Remote only
Works remotely most of the time

Preferences

Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
Company size
  • 2 - 10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
+1 autres

Verifications

Languages

  • Français

    Native or bilingual

  • Anglais

    Full professional proficiency

Skills (16)

Dan in a few words

Dynamic Data Scientist, also skilled at developing complex solutions and possessing a strong creative thinking. After spending 3 years as Data Scientist I am now looking for my next challenge. It will be a pleasure to help you in your next project.

Experience

onepoint - Onepoint

Digital Agency and IT company

Data scientist Senior

Paris, France

October 2019 - Today

Main accounts : EDF, BPI,
- Machine learning : NLP, Clustering...
-Data quality
- Tools : Python, R, SQL

Check Point

Logistics & Supply Chain

Data Scientist

Paris, France

February 2019 - Today

Given network security data from all around the world. My goal is to detect malicious activity while using clustering and machine learning model.

BETC

Digital Agency and IT company

Data Scientist

Paris, France

January 2017 - September 2018

Main accounts : Peugeot, Europcar, Citeo, Savencia
- Machine learning : Clustering, Scoring, predictive models ...
- Reportings cross sources Data cleaning
- Tools : Python, R, SQL, Qlikview, Toucan Touco, Power BI, Google Analytics ect.

Natixis - BPCE

Banking & Insurance

Data Scientist

Paris

October 2015 - December 2016

- Descriptive analysis
- Profiling Machine learning : Clustering of  clients
- Tools : R, Python, SQL, Amadea
  • data cleaning
  • data modeling
  • clustering

Education

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