Master classes
2020 — 2021
Master of Statistics for Evaluation and Forecasting at the University of Reims Champagne-Ardenne.
About Me
Hi I am Sayf CHAGTMI 
,
I’am a Tunisian 
Data Scientist who live in France 
.
I love coding 
, the art of making memories tangible (Photography) 
and practicing sport (mainly weight trainig) 
.
I will be happy to participate in any opensource project or data related ones 
.
Skills
Programming Skills
Python
95%
R
80%
SQL
85%
SAS
70%
Java
70%
VBA
70%
C
65%
Web Development ( HTML, CSS, FLASK )
70%
Functional skills
Data Analysis
90%
Data visualization
90%
Machine Learning
95%
Natural Language Processing (NLP)
90%
Web Scraping
85%
Experience
Education
Engineering studies
2016 — 2019
Engineering studies at the Higher school of Statistics and Data Analysis of Tunis (ESSAIT).
Preparatory classes
2013 — 2016
Preparatory classes in Mathematics, Physics and Computer Science at the Preparatory Institute for Engineering Studies of Tunis (IPEIT).
Professional Experience
Data Scientist at "LAB'IA Technopole Loire Valley"
2021 — present
- Support and modeling of customer problems.
- Implementation of data pipelines (Extraction, Transformation, Cleaning, Visualization, Analysis, Modelling, Evaluation and Validation).
- Developed Python libraries for automation, web scraping, data extraction and transformation, and model training and evaluation.
- Development and deployment of Deep Learning algorithms.
Technologies: Python, Keras, Tensorflow, Pytorch, Docker, Airflow, Git, Pyspark, Linux servers.
Graduation Project at "Orange France"
2021 — 6 months
Automation of certain workflows and exploration of new work methodologies based on Machine Learning approaches applied on different subjects:
- Automation of data processing and cleaning on Dataiku using Python scripts.
- Development of Dataiku Dashboards in RShiny.
- Development of data visualization’s Dataiku plugins.
- Modeling a solution for churn estimation.
- Meet the needs of marketing teams (analysis, adjustment, sampling, data visualization...).
- Development of a Scoring solution.
- Automated reporting on a monthly basis using Dataiku scenarios.
Technologies: Dataiku, Teradata, Hadoop, Hive, SQL, Pyspark, Python, Keras, R, RShiny.
Junior Statistician at Datametrix AG
2019 — 2020
- Analyzed clinical data using SAS.
- Supervised a graduation project about depression detection using Deep Learning algorithms.
- Analyzed Covid-19 data during a webinar about predictive analysis.
Technologies: Python, Git, Tensorflow, Keras, SAS, R, RShiny, Linux servers.
Graduation Project at EURA NOVA Tunisia
2019 — 4 months
Developed a Sentiment Analysis model from data in Arabic language using Deep Learning algorithms.
Key Words: Natural Language Processing (NLP), Data Pre-processing, Word Embedding, Recurrent Neural Networks (LSTM, BiLSTM, GRU), Attention Mechanism, Transfer learning.
Technologies: Python, Git, Tensorflow, Keras, Docker, Linux servers.
Engineering Internship at "Banque de Tunisie"
2018 — 1 month
Developed a Python application using Recurrent Neural Networks (LSTM cell) for time-series, to solve the "Cash Flow Estimation" problem.
Key Words: Time Series, Forecasting, Recurrent Neural Networks (LSTM, GRU), Hyper-parameters .
Technologies: Python Tensorflow, Keras.
Summer Internship at "Attijari Bank"
2017 — 1 month
Created a Shiny Application to analyze the evolution of management credits between the first two semesters of the years 2016/2017.
Key Words: Tunisian market, Statistics, Dashboard.
Technologies: R, RShiny.
