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Hachem SFAR

Hachem SFAR

STUDENT

Passau

Technologies

My Portfolio Highlights

My New Track

Machine Learning Fundamentals

My New Course

Introduction to Python

Data explorer, charting new territories in the realm of insights.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to R

course

Introduction to Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

ecotrek | Apr 2022 - Present

Data Scientist / Data Engineer

N/A

TechLabs Aachen e.V. | Nov 2021 - Apr 2022

Mentor – Data Science track

Creating a highly accurate model that predicts the stage of Alzheimer's to help doctors in diagnosis based on MRI images. If MRI images are not available yet, give the doctor a first assessment of the dementia risk for the patient based on patient data. Keywords: Python, Project Management, Machine Learning, Classification, Streamlit
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mymuesli | Sep 2021 - Oct 2021

Fulfillment Center Associate

N/A

E.ON | Oct 2019 - Sep 2021

Working Student - Data Analyst

Contribution in many projects in various fields: data analysis, unit testing, NLP, web development, web scraping, software development, and documentation Keywords: Python, Tkinter, Pandas, Selenium, SQL, PowerBI, Sphinx, Unit testing, Matplotlib, GIT, Azure storage explorer

Universität Passau | Jun 2019 - Apr 2020

Research Assistant - Chair Datascience

- Develop a system that detects Hate Speech on Twitter using various Machine Learning techniques. - Deploy the solution on the web using Flask to make the model available to the end-users. - Submit a paper to the SemEval-2020 conference to describe the methodology. Web Application: https://offdet.padim.fim.uni-passau.de/ Paper Link: https://aclanthology.org/2020.semeval-1.277.pdf Keywords: Python, NLP, Deep Learning, BERT, CNN, Bidirectional GRU, ML Web App, Twitter API, Flask

IntilaQ Tunisia | Jun 2018 - Aug 2018

Learner - DataScience Academy

The goal of this program is to create a generation of data scientists ready to tackle and solve tomorrow's challenges. Participants will learn the basics of data science and they will learn how to apply classroom examples using real data. Program: Module 1: Prerequisites Module 2: Data Preparation Module 3: Web scrapping Module 4: Machine Learning Module 5: Deep Learning

Attila AI | Jan 2018 - May 2018

Graduation Internship

Development of an intelligent recommendation system that recommends products to meet the interests of each customer. Keywords: Machine Learning, Exploration Data Analysis, Logistic regression, Naive Bayes, decision tree, Random Forest, Neural network

Sagemcom | Oct 2017 - Dec 2017

Working Student - Software Developer

Development of a desktop application to manage the registration of the visitors. keywords: C#, MySQL

WEVIOO | Jul 2017 - Aug 2017

Summer Internship

Solution development for the follow-up of the elderly which is useful (especially for those who suffer from Alzheimer's) Technologies used :HTML,Javascript,Google map api,Node-red,Arduino/ Raspberry pi,GPS shield, Temperature sensor, Arterial pressure sensor

WoMa, Fabrique de quartier | Jun 2017 - Jun 2017

Training

Training in digital manufacturing: - 3D design(Solidworks,autodesk fusion 360) - 3D printing - milling and laser cutting

Tunisie Télécom | Jul 2016 - Jul 2016

Training of integration in professional life

Discover the working environment within Tunisie Telecom and the different techniques of management of the Telecom network.

My Education

Take a look at my formal education

Master in Computer Sciences, Computer ScienceUniversität Passau | 2021
Telecommunications EngineeringSUP'COM | 2018
Diploma of the First cycle University Studies, TechnologiePreparatory Institute for Engineering Studies - El-Manar (IPEIEM) | 2015
Baccalaureate, Technical ScienceLycée El-Hadika, Tunis | 2013

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