Nassim E.

Data Scientist

415 dollar

My experience


AtosMarch 2019 - Present

Sectors of activity : Energy, Highway, Agriculture, Health, Tourism, Banking.

• Design Task Flows made of Talend jobs to migrate data from a NoSQL CosmosDB Data Lake to an Oracle database and vice versa.

• Carry out the deployment of Big Data jobs executables on Microsoft Azure and automation using WebJobs.

• Set up a Data Gateway connection to synchronize a Legacy system with an Azure Data Lake.

• Create an innovative platform “Mobility as a Sustainable Service” (MaaSS) made up of two components (Web Portal and Hybrid Mobile App), and building algorithms that predict the type of vehicule that corresponds to fluctuations of smartphone sensors data.

• Data mining & big data audit on production chain and highway tolls.

• Creation of an augmented reality application for an Urban Farm :

The main functionalities of this android App are : Retrieving data from an external Api, Showing KPIs to Users, and the next tasks to perform related to plants cultivation by showing augmented objects in the physical world.

• Carry out a state of the art of predictive maintenance in the context of Industry 4.0.

• Perform predictive maintenance workflow tasks:
o Data Processing and evaluation of Machine Learning models for breakdowns prediction inside the urban farm materials.
o Data Visualization / Reporting of results related to predictive maintenance.

• Predictive analysis of time series on behalf of a French energy distributor.

• Text mining / natural language processing, OCR and extraction of informations from pharmaceutical documents.

-> Environment : Python, Spark, C#, Tensorflow, Google Cloud Platform, Microsoft Azure, Talend Big Data Platform, Dash Plotly, Hadoop, Kafka, Hive, Grafana, Docker, Google Arcore, git, Jenkins, Docker, Web and Mobile technologies (Angular, Node Js, Ionic & Cordova Frameworks), DB Management (SQL and NoSQL).


MaltAugust 2018 - October 2019

Tour Operator – Data Science project:

• Clean and structure customer data.

• Carry out statistical analyzes (Descriptive, Inferential and Predictive).

• Apply Machine Learning algorithms to forecast time series of overnight stays and turnover on several sites (vacation villages).

• Restitution of prediction results on a dashboard integrated in a web application (Data Visualization).

Retirement Provident – Applied Mathematics project:

• Solve optimization problems to offer the most optimal annuity scenarios for clients of the retirement provident division.

• Present the results in Excel file format made up of interactive sheets (Buttons that launch macros).


KeenturtleFebruary 2018 - July 2018

• Modeling of mathematical problems of assigning logistic agents to tasks related to inventory, equipment movement and bio-cleaning (NP-Hard problem).

• Realization of a Back Office Mission solution, which implements the predictive method of resources allocation and which allows the management of hospital equipment.

Meta-heuristic resolution method used : Genetic Algorithms. (JAVA REST, Javascript)


Ministère de l’Equipement, du Transport, de la Logistique et de l’EauJuly 2017 - September 2017

• Existing analysis and collection of relevant indicators (KPI concerning road control and training of professional drivers).

• Design and Implementation of a Datawarehouse (MSSQL) and supply it with data from the SITR Road Transport Information System (MS BI - SSIS).

• Preparation of reports relating to each module via the data warehouse (MS BI - SSAS and SSRS) and creation of a dashboard designed for the national observatory of transport and logistics.

• Time series analysis on data related to training of professional drivers and road control. Generation of forecasts after the evaluation of different statistical models (R).

- Participation in the Design and creation of a web portal (CMS Wordpress, HTML5).


Office National des Chemins de Fer (ONCF)July 2016 - August 2016

• Existing analysis and collection of data related to each department.

• Study and analysis of the business processes of the information systems department, and freight logistics department.

• Design of the relational database (MSSQL) and creation of management application for the provisional maintenance calendar (C # .NET).

My stack

Computer Tools

Microsoft Excel

Machine Learning

TensorFlow, Predictive analysis

Business Intelligence

SQL Server Reporting Services, Business Intelligence




SQL, JavaScript, Python, HTML5

Big Data

Data Mining, Hadoop, Big Data, Apache Kafka, Spark, PySpark


Pandas, NumPy, Machine Learning, Seaborn

IT Infrastructure

Docker, Git


Microsoft SQL Server, Oracle, NoSQL




Spanish, Artificial Intelligence

My education and trainings

Microsoft Certified: Azure Data Engineer (DP-203/ DP-201 & DP-200 ) - Microsoft

Python for Applied Data Science - IBM

Data Analytics - Mining and Analysis of Big Data - Alison - Free Online Learning

Master 2 (M2) - Data Science - Claude Bernard Lyon 1 University2018 - 2019

Engineering Degree - Computer Science and Logistics Engineering - National School of Computer Science and Systems Analysis - ENSIAS2015 - 2018