Achraf A.

As Data Scientist role I'm predicting the future, detecting trends, classifying pictures, extracting information from text, etc. To do so, I use computers and programming languages to process all the information, make complex calculations, create useful data visualizations, and obtain results. The operations that a data scientist performs to achieve results are guided by theoretical and practical expertise. Knowing the math behind the tools and understanding statistics and probabilities can make the difference between an awesome and a mediocre outcome. Data Scientist in data processing machine learning and deep learning − Knowledge of data processing necessary for models training and prediction, automation of data implementations, carrying out statistical studies, highlighting data value predictions vs Deep Learning and/or machine Learning… − Implementation of algorithms and scripts based on advanced Machine Learning/Deep Learning models − Processing massive data and extracting/predicting useful information for decision-making − Very good skills in Mathematics, Statistics and ''Python'' and ''R'' programming languages − Good analytical and synthetic skills − Big data predictions by machine learning models and deep learning − Time series predictions with (ARIMA, SARIMA, HT, Neurons..) − Survival Analysis (Survfit model, Cox model) − Computer vision prediction in Deep Learning with the ''Pytorch'' library − Text/Voice prediction with the ''Pytorch'' library − Prediction of stock market stocks with "Time Series Forecast" (Price increase or decrease) models (ARIMA, SARIMA, AR, HW) − Data classification/clustering with (PCA, K-means, Hierarchical clustering) − Deep learning with Tenserflow, Keras and Pytorch models

As data analyst I'm interpreting data sets in order to answer a question or to help solving a technical problem basing on data analysis and data extraction to determine some trends and features which help to to identify problems sources and make good decisions.