Ayoub Abraich

Phd student, data scientist : ML-DL-RL

Moves to Paris, Paris

  • 48.8546
  • 2.34771
  • Indicative rate €200 / day
  • Experience 0-2 years
  • Response rate 66%
  • Response time A few days
Propose a project The project will only begin when you accept Ayoub's quote.

Availability not confirmed

Part time, Evenings & week-ends

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

Location and geographical scope

Paris, France
Can work in your office at
  • Paris and 50km around
  • Paris and 20km around


Project length
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months




  • Français

    Native or bilingual

  • Anglais

    Full professional proficiency

  • Japonais



Skills (19)

Ayoub in a few words

Passionate about Artificial Intelligence, more on Machine Learning (Supervised, Unsupervised and Reinforcement Learning) to develop models for decision making and/or optimization under uncertainty and dynamical systems .


- Data Science ( ML/DL/RL/NLP)
- Software engineering
- Applied mathematics

What I am able to do for you:

- To reassemble strategic knowledge from your different sources of data, by doing statistical analysis by testing many mathematical models until reaching an optimal result (forecasting, anomaly detection, classification, extraction of rules of associations ... etc).

- Find patterns in your records, the different correlations, in order to detect anomalies and predict time series, so better understand your data.

- Cross and consolidate all of your data in order to allow a monitoring of
different business KPIs on a dashboard.

- Suggest improvements to apply to your current system.

Solutions can be python-based application development, or notebooks, with an implementation of interactive visualizations to facilitate understanding of the results.





Évry, France

September 2020 - Today



Research Internship | Deep learning & Causal inference

Évry, France

April 2020 - Today

Deep learning for estimating the individual treatment effect in a longitudinal context
Supervisors : Pr. Agathe Guilloux (LaMME) & Pr. Blaise Hanczar (IBISC).

CMAP Ecole Polytechnique

High Tech

Research internship : Deep reinforcement learning & VQA

Palaiseau, France

April 2019 - August 2019

Research internship of 4 months under the supervision of Pr. Eric Moulines et Alice Martin.
Topic: Implement deep reinforcement learning algorithms on a "Visually Grounded Question Answering"task to improve dialogue generation . http://vixra.org/pdf/1909.0074v1.pdf

Laboratoire de Mathématiques et Modélisation d'Évry [LaMME]


Research internship : Deep Learning On Mimic-III : Prediction of Mortality Within 24 Hrs

Évry, France

March 2018 - May 2018

The goal of this project was to predict death in hospital based on MIMIC III.
Supervisor : Pr. Agathe Guilloux | [email protected]



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