Browse profiles Post a project
Malt welcom

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

Can work in or around Sétif

  • 36.1892
  • 5.4034
  • Suggested rate 25 € / day
  • Experience 0-2 years
Propose a project The project will begin once you accept Fares's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Fares's quote.

Location and workplace preferences

Location
Sétif, Algeria
Can work onsite in your office in
  • around Sétif and 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 autres

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Reputation

Kaggle

Kaggle : Fares Sayah Fares Sayah
  • CONTRIBUTOR Tier
  • 0 Rank
  • 1 Bronze
  • 0 Silver
  • 0 Gold

Stack Overflow

Stack Overflow : Fares Sayah Fares Sayah
  • 111 Reputation
  • 4 Bronze
  • 1 Silver
  • 0 Gold

Languages

  • French

    Fluent

  • English

    Fluent

  • Arabic

    Native or bilingual

Categories

Skills (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

Kaggle

Data scientist (Kaggle Master)

Remote

September 2019 - Today (3 years and 2 months)

Kaggle is a platform for predictive modeling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. Kaggle profile: https://www.kaggle.com/faressayah ➼ 2x Kaggle Expert (Dataset Expert, Discussion Expert) + Kaggle Notebooks Master ➼ Kaggle Datasets Expert: Highest Rank 63 in the World based on Kaggle Rankings (over 13k data scientists) ➼ Kaggle Notebooks Master: Highest Rank 89 in the World based on Kaggle Rankings (over 100k data scientists) ➼ Kaggle Discussion Expert: Highest Rank 68 in the World based on Kaggle Rankings (over 100k data scientists) ➼ Kaggle Competitions Contributor (Unranked)

Education