Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
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Mohamed Hedi Ben Amor

Summary

I am an aspiring data scientist with a strong educational background and excellent interpersonal skills. My ability to foster a culture of innovation, teamwork, agility, and determination sets me apart from my peers. Additionally, I possess a solid business acumen, strategic thinking abilities, leadership qualities, and comprehensive technical knowledge in data science tools and techniques. Together, these strengths enable me to contribute significantly to any organization seeking to harness the power of data for competitive advantage.

Overview

1
1
Certification

Work History

Data Scientist Intern

Fotuneo - ARKEA Group
04.2024 - Current
  • Understanding the lifecycle management of a Machine Learning (ML) model and applying it to ML models in a data lab.
  • Participating in the deployment of ML and Generative AI projects covering various use cases such as Fraud Detection, Marketing Score, and Natural Language Processing (NLP).
  • Utilizing different tools: Amazon Web Services (AWS) (for cloud infrastructure), Amazon SageMaker (for ML environments).

Data Scientist Intern

MINOTORE Paris
Paris
  • Developed an intelligent chatbot tailored for an asset management company, 'Amundi ETF,' to enhance customer interactions and streamline information delivery
  • Proactively pursued an in-depth comprehension of financial terminology to better serve the financial industry and effectively communicate with clients and stakeholders
  • Utilizing diffirent tools: Prompt Ingeneering, LlamaIndex, BART, BERT, GPT-2, RAG & H2O

Machine Learning Intern

DEEPGRAY VISION Paris
Paris
  • Conducted anomaly detection in metals through data analysis and statistical modeling to identify irregularities or defects in metal production processes
  • Developed and implemented image preprocessing techniques to enhance the quality of raw images, including noise reduction, contrast adjustment, and image sharpening
  • Utilized Variational Autoencoders (VAEs) to model and extract latent representations of complex data in the context of anomaly detection in metals

Education

Master of Science - Computer Methods Applied To Business Management

Université Paris-Dauphine
Paris, 75
04-2024

Master of Science - Data Science

CY TECH
Paris, 75
04-2024

Bachelor of Science - Applied Mathematics and Computer Science

CY TECH
Paris, 75
06-2022

Skills

  • AWS
  • Python
  • Machine Learning / Deep Learning
  • AI
  • SQL
  • Power BI
  • SAS
  • DataLab
  • Big Data

Certification

  • TOEIC
  • IELTS

Projects

  • Developing a financial consulting chatbot that utilizes the following tools – H2O, RAG, MISTRAL, and LangChain – to assist clients throughout their journey.
  • In our ongoing collaboration with the company, we aim to develop advanced solutions for image classification and object identification tasks. To accomplish this goal, we utilize several powerful machine learning algorithms tailored to handle complex visual datasets. Among them, LightGBM, AdaBoost, and Catboost stand out as key components of our approach. These methods offer significant advantages such as faster training times, improved accuracy, and robustness against overfitting.

Timeline

Data Scientist Intern

Fotuneo - ARKEA Group
04.2024 - Current

Data Scientist Intern

MINOTORE Paris

Machine Learning Intern

DEEPGRAY VISION Paris

Master of Science - Computer Methods Applied To Business Management

Université Paris-Dauphine

Master of Science - Data Science

CY TECH

Bachelor of Science - Applied Mathematics and Computer Science

CY TECH
Mohamed Hedi Ben Amor