Abdelkader Chihab
BENAMARA
Data Engineer / Analyst
I am a creative and collaborative Data Engineer / Analyst , having a great experience with ML & AI fields along my 7 years of academic experience.
If my profile is giving you some hype 🥳 don't hesitate to text me !
Hire Me
chihab_eddine98
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Yeah ! u just found ur man 🥳 #creative #fun
Data Engineering
[SQL] Ability to work with different SQL syntax, such as NoSQL, PostgreSQL...etc
[Data Modeling] Design and work with databases and warehouses so that they are optimized and scalable.
[Big Data] DataBricks, Hadoop , MapReduce , Spark (Scala & Python skills)
[Other] AWS services , docker, Kubernetes
[Data Viz] Ability to present data findings via graphics or other illustrations using Python ( Seaborn , Matplotlib , Streamlit ) and Plotly (JS).
[PowerBI] Microsoft Certified: Data Analyst Associate with Power BI.
[Maths] Calculs and Linear Algebra see more
Analytics
My Skills
Data Science
[Deep Learning] Build , tune and train models and transfert learning techniques.
[Computer Vision] Object detection , Text detection , Key information extraction , image segmentation and classification, real-time video recognition
[NLP] Text classification , Sentiment analysis , Fake News Detection , Language translation
Languages
Data
Other
Data Viz
Tools
Py_libs
Artificial Intelligence , Systems & Data Science Master Degree (Honours)
Courses :
Computer Vision , Advanced ML , Deep Learning , Optimization ,Reinforcement Learning & Planning, ML on Big Data , NLP , AI for healthcare (Mines ParisTech).
IASD Master
2020-2022
2018-2020
Dual Bachelors in Maths and Computer Science (Honours)
Courses :
OOP, Assembly Programming, C , Java , Functional programming (OCaml & Scala) , Calculus , Algebra , Statistical Learning, Mathematical modeling.
Education
Two years in CPGE integrated to the Higher School of computer science & mathematics (the most known higher institute in Algeria) (Honours)
Courses :
OOP, Assembly Programming, C , Java , Imperative Programming, Reverse Engineering , Calculus , Algebra , Statistical Learning, Mathematical modeling, SQL , First Order Logic , Computers Architecture, System programming , web developement.
Preparatory Classes for ESI
2016-2018
2013-2016
High School Diploma Series Mathematics with high Honours
Courses :
Functional analysis, Arithmetics in Z, Geometrical Algebra, Statistics and Probability theory, Complex Analysis, Nuclear Physics, mechanical physics
GPA : 17.48/20
Object Detection and Recognition from Invoices
Text Detection / Recognition and Key Information Extraction from Business Documents
Recent Work
Deep Go (Deep Reinforcement Learning)
Several two headed neural networks with ~ less 1M parameters that performs pretty good on Chess and Go game , trained on 1M games dataset from the KataGo dataset
Amazon Analysis (NLP)
Amazon reviews sentiment analysis, from scrapped data and an end-to-end Pipeline dedicated to classify client reviews.
InstaBOT : Information Extractor
instaBot is a data collector ( basic web scrapping tool ) that collect data related to a given tag or post
Recent Work
ParSon : E-learning plateform
ParSon is a modern E-learning platform dedicated for College students with a creative set of quiz and live coding challenges created during classroom session
Fake News Challenge
(NLP)
The goal of the FNC is to explore how AI technologies, particularly ML and NLP might be leveraged to combat the fake news problem.
ParSon : E-learning plateform
ParSon is a modern E-learning platform dedicated for College students with a creative set of quiz and live coding challenges created during classroom session
Recent Work
Fake News Challenge
(NLP)
The goal of the FNC is to explore how AI technologies, particularly ML and NLP might be leveraged to combat the fake news problem.
My End of studies internship in the context of my IASD master degree
Tasks :
- Perform state-of-the-art research at the crossroad of computer vision and NLP for text detection and recognition from visual documents
- Proposal of key information extraction pipeline for invoices
- Design and developement of the proposed approach
Oct 2022
Sep 2021
Monte Carlo Tree Search for Stockfish Analysis
Tasks :
- Application of MCTS on NNUE (Neural Network Evaluation) and on Stockfish
- Design a two-headed Neural Network specific for Evaluation and best move
- Compare the first method with two separated neural networks based on a meta-function.
Career
E-learning Platform for behavior analysis
Tasks :
- Conception and Modelisation of website's backend
- Implementation of different modules of the plateform
- Integration of AI algorithms for fraud detection
Sep 2019
Dec 2017
Python Software Engineering Internship
This is an internship for my second year of at ESI Algiers / ALGERIA
Tasks :
- Conception and Implementation of client management documents Desktop application.
