Haron Benabbes

Background

About Haron Benabbes

Freelance Data Scientist, ready to solve your data-centric challenges by your sides.Rigor and creativity in answering Data problems, mastering Python. My motto : to delight and surprise / My website : :• Freelance Data Scientist (October 2021-Present)- Developed and optimized models for Machine/Deep Learning projects- Conducted data acquisition, preparation, and exploration to assess performance and forecast trends- Produced reports and developed dashboards to facilitate decision-making processes through actionable insights- Analyzed client requirements to determine the most relevant approach and maximize data value- Created Websites• Data Scientist / Cost Engineer (April-September 2021)EDF DIPDE- Expenses optimization, related to the project of life extension of the French Nuclear power plants- Identified the cost drivers to help the decision-making process- Implemented NLP to identify orders coming from mismanagement- Machine Learning : Budget estimation models→ Better controlled expenses linked to project categories → Promoted the good use of data- Sudoku Solver : Solve it by taking a picture (Computer Vision, Deep Learning, Python)- Face ID : A facial recognition module in Python (Computer Vision, Deep Learning, Python)-Automatic Music Transcription: Pitch estimation of a piano sound by logistic regression (Supervised work of research)(Logistic Regression, Machine Learning, Python)-Golf Putting: Model building and Bayesian Statistic (Logistic Regression, Model building, Bayesian Statistic, R/Stan)-Eurostat Database: What are the most attractive regions for a tomorrow's Data Scientist? 🧭(Exploratory Data Analysis, Unsupervised Classification, R)-Million Song Dataset: Year of release prediction model for smartphone application (Regression and Regularization Methods, Machine Learning, Python)-UDHS 2016: Does the age of the household head influence the household facilities?(Exploratory Data Analysis, R)- Other work topics: Signal Processing (1D & 2D), Multi-Task Learning, Neural style transfer- Programming : Python, R, SQL, SAS, Scilab, Stan + LaTeX- Machine Learning (Scikit Learn, Tensorflow/Keras)- Signal Processing- Data Analysis- Power BI- Statistics- Microsoft Office Suite+ a good - French : Native Speaker- Anglais : Fluent- Espagnol : Intermediate