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I'm

Malek Yaich

Data Science Engineering Student
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Hello !

I'm Malek Yaich, a dedicated Data Science Engineering student at the Faculty of Sciences of Tunisia. I possess an unwavering ambition and a strong work ethic, always eager to embrace new experiences and challenges in the dynamic field of data science. My journey in this domain has been driven by a passion for leveraging data to derive meaningful insights and make informed decisions. I am constantly seeking opportunities to enhance my skills, collaborate with like-minded individuals, and contribute to the advancement of data science and its applications. .

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Skills & Experience

Culminating my educational journey in Data Science Engineering, I have solidified a comprehensive understanding of the core principles and methodologies within the field. Now, I'm eager to showcase both my academic insights and practical skill set in this domain.

My Skill Set

Teamwork

Time management

Autonomy

Data Scientist Intern

Jul. 2023 – Oct. 2023


Quebec Center

Development of a French verb conjugator:

  • Data collection through web scraping using Python Scrapy.
  • Data preparation: data augmentation and encoding.
  • Modelling using an LSTM neural network which takes as input the verb, mode, tense and personal pronoun, then generates the conjugation.
  • Use of automatic natural language processing (NLP) to extract the verb, pronoun and tense from the query provided by the user.

Development of an adaptive learning approach:

  • Implementation of a reinforcement learning model based on the multi-armed bandit algorithm.

Data Scientist Intern

Jul. 2022 – Aug. 2022


TICDCE

Voice emotion recognition:

  • Application of the MFCC technique to extract features from the audio signal.
  • Modelling using a CNN convolutional neural network.
  • Generation of a colour representation based on model probabilities.

Development of a dashboard for customer analysis:

  • Data Cleaning: Handling missing data, data normalization, correcting input errors, and managing outliers.
  • Building an interactive dashboard using Power BI.
  • Use of analytical results for customer segmentation.

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ENGINEERING in Data science

Sep. 2021 – Present

Faculty of Sciences of Tunis

Preparatory Cycle Studies

Sep. 2019 – May 2021

Faculty of Sciences of Tunis

Baccalaureate

Sep. 2018 – May 2019

HAMOUDA BECHA secondary school

Certificates

Microsoft Azure AI Fundamentals

(AI-900) mai 30, 2023
Microsoft

CCNAv7: Introduction aux réseaux

CCNAv7 Sep 03, 2021
Cisco Networking Academy

My Projects

ChatBot

NLP, Python, Deep learning, HTML5, CSS, JavaScript
This project involves the development of an Arabic-language chatbot designed to answer frequently asked questions in the field of mental health.

Image Segmentation of Ishihara Test

Python, unsupervised learning, K-means
This project aims to segment images using the unsupervised learning algorithm K-means to remove the background from Ishihara test images and accurately differentiate the numbers in question.

Density estimation

R, statistics, Density estimation, Non-parametric statistics
This project offers an R code implementation for estimating the density function using the kernel method. It explores different values of the parameters h and n to perform these estimations.

Fraud detection in financial payment services

Machine learning, logistic regression, KNN, decision tree, Random forest
The goal of this project is to detect fraud related to financial payments using machine learning

Facial emotion recognition

Python, deep learning, CNN
Real-time recognition of facial emotions from among the seven basic emotions.

Intrusion Detection System

Machine learning, cybersecurity, Supervised learning, classification
A security technology that monitors network or system activities to detect and respond to unauthorized access or malicious behavior.

Get In Touch

Call me:

+33 7 45 56 60 63


Mail me:

mmyaich@gmail.com


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