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Ayoub Abraich

phd student, data scientist : ml-dl-rl

Peut se déplacer à Paris, Paris

  • 48.8546
  • 2.34771
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Ayoub.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Ayoub.

Localisation et déplacement

Localisation
Paris, France
Peut travailler dans vos locaux à
  • Paris et 50km autour
  • Paris et 20km autour

Préférences

Durée de mission
  • entre 1 et 3 mois
  • entre 3 et 6 mois
  • ≥ 6 mois

Vérifications

Influence

Langues

Catégories

Compétences (19)

Ayoub en quelques mots

I am a first year Ph.D. candidate in Department of Statistics (LaMME) , Paris Saclay University, advised by Professor Agathe Guilloux & Professor Blaise Hanczar. I obtained M.Sc. in Data Science from Paris Saclay University, France.
My main research interest lies in the field of probabilistic modeling, machine learning and causal inference, that is, designs and analysis for evaluating treatments and interventions in randomized experiments and observational studies, and their applications to health studies (also known as comparative effectiveness research) and social sciences.


Skills:

- 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.

Expériences

LaMME

Centres de recherche

Phd

Évry, France

septembre 2020 - Aujourd'hui

Deep learning for estimating the individual treatment effect in a longitudinal context.
Supervisors : Pr. Agathe Guilloux (LaMME) & Pr. Blaise Hanczar (IBISC).
#DomainAdaptation #CausalInference #LongitudinalData
Deep Learning Machine learning causal inference Domain adaptation

LaMME

Centres de recherche

Research Internship | Deep learning & Causal inference

Évry, France

avril 2020 - Aujourd'hui

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

avril 2019 - août 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]

Centres de recherche

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

Évry, France

mars 2018 - mai 2018

1 recommandation externe

Consultez les recommandations qu'a reçues Ayoub

Formations

Certifications