RESUME

lyes bouALI

Data Analyst

Skills

Tableau Software
75%
MS Power BI
60%
MS Excel VBA
75%
Python
80%
Java
65%
SAS
55%
SQL
60%
Informatica
24%
Recent certifications

Experience

Since January 2023

Lincoln / Permanent contract

data analyst/Manager

Assignment at ALTEN (Feb 2023 - Sept 2023)
The main task undertaken during this assaignment was part of the data governance strategy aimed by the compagny. In particular, I had the task of creating and maintaining Power BI reports in order to control the migration of data to a new set of tools (such as Salesforce ..etc). The controles ensure the monituring of the data quality such as detection of duplicates, missing data and coherences between different data sets/tables. Power BI components such as Power Query & M langage, Power Pivot & DAX and Power BI Services were used.

November 2021 to November 2022

Publications Agora / 

Fixed-term & Perm. contract

data analyst

Work with ThoughtSpot

January to November 2020

MRM Paris / Apprenticeship

data analyst

Among the major tasks undertaken, there were: proposing and performing a migration of all the existing SAS scripts to Python which resulted in both improved performance and reduced costs, creating MS Power BI dashboards to monitor the B2B activity and email campaigns performances of Opel, and reporting email campaigns/triggers performances along with setting up a control group to analyze the ROI of email campaigns of L’Oréal Luxe Spain.

June to December 2019

MRM Paris / Internship

Data analyst

Among the major tasks undertaken, there were: monitoring of traffic KPI of the B2C part of Opel website using MS Power BI, automatization of Google Analytics reports of ‘suitoncoeur.fr’ Novartis websites, and monitoring of a call center activity of international markets of a confidential client in the luxury sector.

Education

February to August 2021

Campus Langues

English Intensive Student program

Study of general English language and culture through a comprehensive course including grammar, vocabulary, oral and written comprehension, audio-phonology, culture and literature workshops, and training for the Cambridge English exams.

2018-2020

HETIC

Master's degree in data & AI

Study of different aspects related to data manipulation that ranges from data prep and analysis to machine learning including data visualization and different analytics tools such as programming languages like Python with its several libraries (Pandas, Seaborn and SciKit-Learn), database tools (SQL and NoSQL), Docker, Hadoop, and AWS.

2015-2018

UMMTO – CNAM

Research project

Theme: “Predictable management and orchestration of NFV infrastructures” has as goal to develop a solution for mapping VNFs (Virtual Network Functions), which are pieces of software running within a VM or a container, to physical infrastructures such as a data center or a distributed network of an ISP. On one hand, a placement solution was developed based on a metaheuristic called GRASP. On the other hand, a simulator was coded using Java language to simulate and test the performances of our solution in comparison with state-of-the-art solutions.

  • Bouali, Lyes, S. Khebbache, S. Bouzefrane and M. Daoui. “A Recommendation Approach Using Forwarding Graph to Analyze Mapping Algorithms for Virtual Network Functions.” Recent Patents on Computer Science 12, June 2019.
  • Bouali, Lyes, Emad Abd-Elrahman, H. Afifi, S. Bouzefrane and M. Daoui. “Virtualization Techniques: Challenges and Opportunities.” MSPN, June 2016.
  • Oukfif, Karima, Lyes Bouali, S. Bouzefrane and Fatima Oulebsir-Boumghar. “Energy-Aware DPSO Algorithm for Workflow Scheduling on Computational Grids.” 2015 3rd International Conference on Future Internet of Things and Cloud, August 2015.
  • Bouali, Lyes, Karima Oukfif, S. Bouzefrane and Fatima Oulebsir-Boumghar. “A Hybrid Algorithm for DAG Application Scheduling on Computational Grids.” MSPN, June 2015.
2011-2014

UMMTO

Master's degree in Network, mobility & embidded systems

Study of network protocols such as OSI and TCP/IP models, parallel architectures, distributed systems and applications, parallel programming, Linux/Unix OS, fundamentals of Artificial Intelligence, Data mining, and bioinspired algorithms such as neural networks, Genetic Algorithm, and Particle Swarm Optimization, algorithmic complexity, embedded and real-time systems, and programming languages (Assembly, Java and VHDL).

2008-2011

UMMTO

Bachelor's degree in Computer Science

Study of all the basics related to computer science such as algorithm and data structures, computer architectures, databases (SQL), operating systems, languages theory, graph theory, compilation with C language, object-oriented programming concepts with Java, networks and mobility. Mathematics including logic, analysis, algebra, descriptive statistics, and probabilities.

MOOCs

Tableau Desktop Specialist
Microsoft Excel - Advenced
AWS Concepts
Excel VBA & Macros
Git Complete
The Data Scientist's Toolbox

Languages

French

Full Professional Working Proficiency – C2 TCF Canada

English

Professional Proficiency – B2 IELTS General Training

Arabic

Limited Working Proficiency

Kabyle

Native

Interests & Hobbies