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Daniel MimouniDM

Daniel Mimouni

Expert Machine Learning | Scraping | Automation

€350/day
3 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Daniel

🚀 Expert in data extraction, automation, and ML
🎓 PhD in Machine Learning & Applied Mathematics - Mines Paris
🏅 Over 5 years of experience in international projects, including for public institutions like the Paris 2024 Olympics
🤝 Over 10 Highly Satisfied Clients

Passionate about data analysis and optimization, I offer comprehensive Data Science services, from data retrieval to analysis and visualization.

What my services can bring you:

✅ Fast analysis and concrete results thanks to custom Python scripts.
✅ Automation of tasks with scraping techniques (BeautifulSoup, Selenium) and API calls.
✅ Data processing and cleaning with Pandas and NumPy.
✅ Interactive visualization with Matplotlib, Seaborn, and Plotly.
✅ Advanced modeling for prediction and classification (Deep Learning with TensorFlow and PyTorch).

⚒️ Key Skills:

- Data retrieval: Scraping, API
- Processing: Pandas, NumPy
- Visualization: Matplotlib, Seaborn, Plotly
- Machine Learning: Scikit-learn, Statsmodels, TensorFlow, PyTorch


🎓 Training & Mentoring:

I offer tailor-made training programs for teams looking to integrate Data Science and Machine Learning techniques into their business processes.


My Background:

🎓Thesis Mines Paris
🎓MSc Imperial College London
🎓Engineer École Centrale de Lyon
🎓Preparatory Classes (Maths Sup/Spé) at Lycée Henri IV


🔗 Have a project in mind? Let's talk and see how I can help you transform your data into results through AI. 🚀
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Lille (up to 50km), Bordeaux (up to 50km)

Experience

  • Optimarket Solutions
    Data scientist consultant
    April 2024 - September 2024 (6 months)
    At OptiMarket Solutions, I had the opportunity to play a key role in implementing data-driven marketing strategies. I started by thoroughly analyzing our customer data to identify trends and areas for improvement. Based on this analysis, I was able to segment our audience more precisely, which allowed for personalized marketing campaigns. I also automated several data collection processes using scraping tools and APIs, significantly reducing the time needed to obtain valuable insights. Concurrently, I designed interactive dashboards to visualize our performance, facilitating informed decision-making. My results-oriented approach contributed to increasing our conversion rate and improving the overall effectiveness of our marketing efforts.
    Automation Machine learning Web Scraping Growth hacking
  • Mines paris
    Teacher
    EDUCATION AND E-LEARNING
    October 2022 - Today (3 years and 10 months)
    Paris, France
    Teaching the Data Science course
    data sciences Data science Data scientist sklearn Scikit-learn Machine learning Deep Learning
  • MINES ParisTech
    PhD candidate
    ENERGY AND UTILITIES
    November 2022 - Today (3 years and 9 months)
    Paris, France
    Thesis in data science for processing large volumes of data
    Data science Mathematics Python Automation Machine learning data sciences sklearn

Reviews

5.0

Out of 2 ratings

SimonS

Simon

CareCare

Reviewed on 12/8/2022

Very good experience with Daniel: communication is fluid, and you can feel the desire to do a good job. I will work with him again in the future.
T

Thomas

Ceramike

Reviewed on 8/10/2022

Very good experience with Daniel, both very good human relations with good technical mastery coupled with a very rapid appropriation of the business issue.

Recommendations

AV
FU
Antoine Vu and 1 other person have recommended Daniel

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Education

  • Engineering degree
    Centrale Lyon
    2019
    Activités et associations : Capitaine et entraîneur de football ; Association Gala EclypsActivités et associations : Capitaine et entraîneur de football ; association Gala Eclyps Mathématiques et Optimisation, Statistiques et probabilités, Traitement du signal, Statistique appliquée et théorie de Fourier, Informatique et données, Économie, Sciences sociales et gestion.
  • Engineering degree
    Imperial College of London
    2020
    Diplôme d'ingénieur avec distinction (la plus haute récompense cette année) Statistiques, Théorie de la fiabilité (probabilités avancées), Mathématiques non linéaires (instabilités et équilibre), Optimisation des équations, Analyse par éléments finis : Mathématiques appliquées et intégration numérique.

Certifications

  • Machine Learning
    Stanford
    2021
    Data Analysis Machine learning Data Analysis Data science Scikit-learn
  • Data Sciences
    Ecole Centrale de Lyon
    2020
    Data Engineering Data visualization automation Automation Data science Data Engineer Selenium Web Scraping

Skill set

Categories