Malt welcome

Welcome to Fares's freelance profile!

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

Fares Sayah
Machine Learning Engineer | Data Scientist
  • Suggested rate
    €150 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Fares's quote.
Select your freelancers
Add freelancers to your shortlist and contact them all at once!
By contacting up to 6 freelancers, you double your chances of finding the right person for your project.
Location and workplace preferences
Location
Sétif, Algeria
Can work onsite in your office in
  • Sétif and around (up to 50km)
Preferences

Project length

  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months

Business sector

  • Digital & IT
  • Education & E-learning
  • Hospitality
  • Medical
  • Software Publishing

Company size

  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 other

1000 - 4999 people, ≥ 5000 people

Verifications

Freelancer code of conduct signed

Read the Malt code of conduct
Verified email
Languages
Categories
Share this profile
Expertise (31)
Fares in a few words
I am a data scientist having experience in developing machine learning and deep learning models for several real-world tasks. I have a solid knowledge of python programming, machine learning, and deep learning.

Currently, I am very active on Kaggle where I participate in different kinds of competitions (Computer Vision, Natural Language Processing, Time Series Analysis, and Predictive Modeling) based on real-world problems.

My services:
➼ Data cleaning, Data analysis, and Data visualization.
➼ Supervised learning (Classification/Regression)
➼ Time series analysis
➼ Natural Language Processing (NLP)
➼ Computer Vision (CV)

Machine Learning Algorithms:
➼ Linear/Logistic Regression
➼ K-Nearest Neighbours (kNN)
➼ Decision Trees
➼ Support Vector Machine (SVM)
➼ Neural Network (ANN, RNN, CNN, DNN, etc)
➼ Ensemble methods (Random Forest, XGBoost, CatBoost, AdaBoost, LightGBM, etc)

Tools:
➼ Python
➼ Matplotlib / Seaborn
➼ Pandas / Numpy
➼ OpenCV / YOLO
➼ Scikit-Learn / Tensorflow / Keras
Experience
  • Google
    CEO
    SOFTWARE PUBLISHING

    Menlo Park, CA, USA

    September 1998 - Today (25 years and 3 months)
    If I had to sum up my life up to this point, I'd say it's been one heck of a ride...
    HTML CSS JS Photoshop

Do you really want to delete this item?

Do you really want to delete this item?

Recommendations

Do you really want to delete this item?

Education