Kabil E. Profile

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$40 USD / jam

casablanca,

morocco

$40 USD / jam

Sekarang jam 6:41 PTG di sini

Menyertai November 11, 2019

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Kabil E.

@KABILESSEFAR

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(0 ulasan)

0.0

$40 USD / jam

casablanca,

morocco

$40 USD / jam

N/A

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Kadar Upah Semula

Data science engineer and IT former

I am a final year PhD student and a Data Science engineer with experience working as a freelance in various subjects such as Python, R, r-shiny, C, SQL, Flask, machine learning, deep learning, NLP, Business intelligence, data warehouse, data analysis, and cloud computing in both French and English languages.

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Pengalaman

Caplogy

Okt 2022 - Hari ini

Delivered courses on Python, R, r-shiny, SQL, Flask, machine learning, data analysis, and cloud computing to diverse audiences including employees, master's and bachelor's students.

IB - Groupe Cegos

Animated a practical & theoretical formation for the company’s employees by working on Advanced python structures, package index, deployment, Test-driven programming, Metaclasses, Decorators, Context managers, Profiling, multithreading, Caching, Memory consumption, and got good feedback from the participants.

PSYCHI LIFE CENTER CASA

Presented a Data Analysis course in descriptive statistics, and studied a use case to describe the population.

Pendidikan

PhD student at Mohammed VI Polytechnic University

Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS,

Morocco

2019 - 2023

(4 tahun)

Pre-doctoral studies at Mohammed VI Polytechnic University

Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS,

Morocco

2019 - 2020

(1 tahun)

Data Science Engineer at National Institute of Statistics and Applied Economics (INSEA)

Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS,

Morocco

2016 - 2019

(3 tahun)

Penerbitan

CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor

ACL-IJCNLP 2021 Conference

In this paper, we described our system submitted to the SemEval-2021 Task-7), and we proposed an end-to-end deep Multi-Task Learning (MTL) model to detect and rate humor and offense. It consists of a pre-trained transformer encoder and task-specific attention layers.