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+216 93 68 65 19
Linkedin.com/rym-boukriba
boukriba.rym@gmail.com
In progress : DATA SCIENCE PROJECT| UNIVERSITY INTERNATIONAL OF
TUNIS .
•Theme: Diabetes
•Methodology: CRISP
•Technologies: R / R SHINY
•Clean and prepare data
• Apply Machine Learning Algorithms -Analyze results
• Develop an expert system
In progress: Development of a mini CRM | UNIVERSITY INTERNATIONAL
OF TUNIS
•Methodology: Scrum
•Technologies: - Sap
• Customer management, reporting (customer loyalty - product sales -
sales teams activity)
April 2018 : Development of a car rental management application|
UNIVERSITY INTERNATIONAL OF TUNIS
•Language: Python with the TKINTER package for graphical interfaces
•Environment: IDLE
•Database: MongoDB
February 2016 :Statistics Project Faculty of Sciences of Tunis
•Theme :Tunisian travel culture
• Language: R / Environment: R Studio
• Preparation of a form and data collection.
•Data Visualization
EDUCATION.
ACADEMIC PROJECTS.
Professional experience.
CONTACT
OBJECTIVES
RYM
BOUKRIBA
DATA SCIENTIST
2019 : Masters degree in Information Systems Engineering: BIG
DATA–ERP | UNIVERSITY INTERNATIONAL OF TUNIS
2017 : Bachelor's degree in Mathematics | Faculty of Sciences of
Tunis
I’m actively looking for a post-
graduate internship in data science
starting from February 2019.
I’m open to internships in Tunisia or
abroad since I’m fluent in English &
French.
07/2018- 09/2018 : SAP Next-Gen Summer Challenge'18 |AYMAX
CONSULTING TUNISIE & UNIVERSITY INTERNATIONAL OF TUNIS
•Project: Deregulation of Foreign Exchange in Tunisia
•Client: Central Bank of Tunisia
•Development and implementation of an automatic verification
system of foreign exchange transactions.
•Technologies: SAP Fiori / SAPUI5 - SAP HANA
Skills.
•Python – R – JAVA – MATLAB
•AI : Expert System - Troubleshooting
•Data Mining: (ACP – AFDM – ACM)
• Machine Learning :K-means – KNN – Decision Tree – Regression (
Logistic - Linear)
•SQL – NOSQL
•MONGO DB
•BIG DATA : HADOOP (HDFS/ MAP-REDUCE)
•Talend – Qlick Sense
•SAP :SAP Fiori/SAPUI5 – SAP HANA –SAP SD/MM –HCM
•Agile methods : CRISP – SCRUM
•Wireshark
LANGUES
Arabic : Native
French : Fluent
English : Fluent
German : Basic
BADGES
Python for Data Science
INTERESTS
Music – Traveling – Reading -
Cooking

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Rymboukriba.pdf

  • 1. +216 93 68 65 19 Linkedin.com/rym-boukriba boukriba.rym@gmail.com In progress : DATA SCIENCE PROJECT| UNIVERSITY INTERNATIONAL OF TUNIS . •Theme: Diabetes •Methodology: CRISP •Technologies: R / R SHINY •Clean and prepare data • Apply Machine Learning Algorithms -Analyze results • Develop an expert system In progress: Development of a mini CRM | UNIVERSITY INTERNATIONAL OF TUNIS •Methodology: Scrum •Technologies: - Sap • Customer management, reporting (customer loyalty - product sales - sales teams activity) April 2018 : Development of a car rental management application| UNIVERSITY INTERNATIONAL OF TUNIS •Language: Python with the TKINTER package for graphical interfaces •Environment: IDLE •Database: MongoDB February 2016 :Statistics Project Faculty of Sciences of Tunis •Theme :Tunisian travel culture • Language: R / Environment: R Studio • Preparation of a form and data collection. •Data Visualization EDUCATION. ACADEMIC PROJECTS. Professional experience. CONTACT OBJECTIVES RYM BOUKRIBA DATA SCIENTIST 2019 : Masters degree in Information Systems Engineering: BIG DATA–ERP | UNIVERSITY INTERNATIONAL OF TUNIS 2017 : Bachelor's degree in Mathematics | Faculty of Sciences of Tunis I’m actively looking for a post- graduate internship in data science starting from February 2019. I’m open to internships in Tunisia or abroad since I’m fluent in English & French. 07/2018- 09/2018 : SAP Next-Gen Summer Challenge'18 |AYMAX CONSULTING TUNISIE & UNIVERSITY INTERNATIONAL OF TUNIS •Project: Deregulation of Foreign Exchange in Tunisia •Client: Central Bank of Tunisia •Development and implementation of an automatic verification system of foreign exchange transactions. •Technologies: SAP Fiori / SAPUI5 - SAP HANA Skills. •Python – R – JAVA – MATLAB •AI : Expert System - Troubleshooting •Data Mining: (ACP – AFDM – ACM) • Machine Learning :K-means – KNN – Decision Tree – Regression ( Logistic - Linear) •SQL – NOSQL •MONGO DB •BIG DATA : HADOOP (HDFS/ MAP-REDUCE) •Talend – Qlick Sense •SAP :SAP Fiori/SAPUI5 – SAP HANA –SAP SD/MM –HCM •Agile methods : CRISP – SCRUM •Wireshark LANGUES Arabic : Native French : Fluent English : Fluent German : Basic BADGES Python for Data Science INTERESTS Music – Traveling – Reading - Cooking