You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Malt welcome

Welcome to Malak's freelance profile!

Malt gives you access to the best freelancers for your projects. Contact Malak to discuss your project or search for other freelancer profiles on Malt.

Malak Mlaouhia data scientist/machine learning engineerMM

Malak Mlaouhia

data scientist/machine learning engineer
  • Suggested rate
    £186 / day
  • Experience0-2 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Malak's quote.
Location and workplace preferences
Location
Tunis, Tunisia
Can work on-site at your office in
  • and around Tunis (up to 50km)
Verifications

Freelancer code of conduct signed

Read the Malt code of conduct
Verified email
Languages
Categories
These freelancer profiles also match your search criteria
Agatha FrydrychAF

Agatha Frydrych

Backend Java Software Engineer

Baptiste DuhenBD

Baptiste Duhen

Fullstack developer

Amed HamouAH

Amed Hamou

Senior Lead Developer

Audrey ChampionAC

Audrey Champion

Web developer

Skill set
Malak in a few words

A results-driven AI/ML Engineer and Data Scientist with a proven ability to design, build, and deploy cutting-edge machine learning solutions that drive measurable business impact. Combines deep technical expertise in NLP, LLMs, and MLOps with a product-oriented mindset, ensuring AI solutions are not just innovative but also scalable, efficient, and aligned with business goals.



Experience
  • iNeuron
    data scientist
    August 2024 - March 2025 (7 months)
    Tunis, Tunisia
    Developed an AI-powered chatbot for e-commerce platforms, capable of bargaining with customers using NLP and fine tuned large language models. Designed a content-based recommendation system that analyzes product attributes to enhance user experience beyond traditional rating-based recommendations. Implemented a user-friendly interface for seamless negotiation and AI-assisted shopping. Optimized model latency for real-time responses and deployed it using cloud-based serverless infrastructure.
  • SSCF Holding
    data scientist intern
    June 2022 - January 2023 (7 months)
    Tunis, Tunisia
    Built a deep learning model to predict soil moisture using satellite & meteorological data extracted through an API. Developed ML models to recommend irrigation schedules, optimizing water usage for agriculture. Deployed the system via a Flask web application, enabling real-time predictions and recommendations.
Recommendations
Education
  • Master 2 :Artificial Intelligence and Data science
    University of Paris
    2022
    Master 2 :Artificial Intelligence and Data science
  • Master of Arts in Statistics
    UNIVERSITY OF PARIS DAUPHINE
    2021
    Master 1 : Statistics and Big Data
  • Bachelor of Science in Mathematics
    Faculty of Science of Tunis
    2019
    Bachelors degree in mathematics