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Mohamed Henni

Senior Data Scientist

Works remotely from Bruxelles

  • 50.8466
  • 4.3517
  • Suggested rate 380 € / day
  • Experience 2-7 years
  • Response rate 100%
  • Response time A few days
Propose a project The project will begin once you accept Mohamed's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Mohamed's quote.

Location and workplace preferences

Bruxelles, Belgique
Remote only
Primarily works remotely


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
  • Banking & Insurance
  • Chemical
  • Biotech
  • Entertainment & Leisure
  • E-commerce
+13 other
Company size
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
+1 other


Freelancer code of conduct signed
Read the Malt code of conduct

Verified email


  • English


  • French

    Native or bilingual


Skills (35)

Mohamed in a few words

What I can do for your business:

- Understand your data and give insights using the best statistical analyses from years of experience dealing with real-world data.

- Help create predictive models based on state of the art machine learning algorithms.

- Create web-based and user-friendly applications to unable diverse visualization of your data, and to apply the predictive models on future/new data, while making sure that these applications can be used by non-experts.



Pharmaceuticals industry

Data Analyst

Wavre, Belgique

October 2017 - November 2020 (3 years and 1 month)

- Variance analyses and statistical tests
- Features selection
- Features engineering and augmentation
- Models selection and parameters optimization
- Ensemble predictions and sequential boosting algorithms
- Data visualization using various libraries (ggplot, plotly, ..)
- Development and deployment of Shiny applications (user interface and server logic) within company servers
- Redaction of reports and analyses using R Markdown and R Notebook
- Use of pre-trained classification and regression models with Keras and fine-tuning them for deployment
- Use of Reinforcement learning algorithms (Q-learning)
R Machine learning Statistics Computer Science Data science Big Data Data analysis Python


Pharmaceuticals industry

Data Scientist

Braine-l'Alleud, Belgium

November 2016 - September 2017 (10 months)

- Build predictive models for bioassays using new statistical methodology to compare ELISA dose response curves.
Machine learning R ELISA Statistics