William Siounandan
Data Enginner| Cybersecurity
Profil professionnel
A trained engineer, I have developed skills in competitive analysis and evolving trends to promote the company's progress and increase performance.
Professional with a great sense of organization and a strong knowledge of data analysis, I wish to find a data analyst assignment.I could add my dynamism and my love for the challenge.
Proactive, inquisitive and eager to accomplish goals by applying my knowledge and making well-planned recommendations.
Vue d'ensemble
14
14
years of professional experience
9
9
years of post-secondary education
Expérience
Data Analyste
Lillybelle
Paris
2023.08 - Actuel
- Project manager IT New architecture Orange France
Deployment SMB/TLS/MFA
- Technical PM and Solution Architecte
Creation peline Azure
Automation Dashboard Python & BI for country Togo and Benin and France
Network enginner
Ericsson
Massy
2022.08 - 2023.08
- Analyse metrics KPI definition
- Dashboard performance Power BI & Python
- · Project Private LTE Arcelor Mittal
- · Deployment of an end-to-end architecture
- · Validation & Troubleshooting
- · Software fixes and new features
Ingénieur Telecom ( chef de projet)
SFR
Paris
2009.09 - 2022.03
- TPM on geolocalization tools EXFO (Ran Nokia) and GENEX (Ran Huawei) familiar with project management.
- Can assess the impact of change following decisions.
- Settings Support Radio planning & optimisation engineer.
Ingénieur Telecom
SFR
Paris
2016.09 - 2019.01
- Integration of innovative and digital technologies,Planning and optimization site Radio
- Enhancing the quality of Internet and voice service.Resolving the customer's issue.
Formation
Data Engineer - DATA
Data Scientest
Paris sorbonne 2022.04 - 2023.02
Master 2 - Réseaux Systeme Multimédia
CNAM
Paris, 75 2010.09 - 2015.09
Licence - Electronique Embarqué
Paris 13
Paris 2005.09 - 2008.09
Compétences
Cybersecurity: Cloud computing security, cyberattacks, and cybercrime
Programmation: Python,R, Bash Linux
Data visualization: Matplotlib,Seaborn,Bokeh,Power BI et Tableau
Machine Learning: Scikit-learn
Database: SQL,MongoDB,ElasticSearch,Neo4j, Hbase
Big Data:Hadoop,Hive,Spark
Streaming:Kafka,Spark Streaming
Automatization: FLASK, FastAPI, Kubernetes,Docker,Airflow
Projets réalisés
- Collect data to solve and visualize integration and performance.
- Delivery of deferred results and enhancement requirements.
- Cartographic impact Data
- Provides solutions for systems evolution. Rapport data visualization
Projet Data Analyst
Nokia Mobily-KSA 10-2021/02-2022
Objective:
Result:
5G Mobile Internet Enhancement.
relationships
Coordination between business/user teams and engineering teams.
Legacy Analysis and Audit.Architecture, design and modelling
Elaboration of functional and technical specifications.
Ability to translate client requirements into solutions, rationalize and make technical and strategic decisions.
Ability to identify challenges and take decisions on an individual or consensus basis.
Language
Anglais
Intermédiaire supérieur (B2)
Français
Langue maternelle
Chronologie
Data Analyste
Lillybelle
2023.08 - Actuel
Network enginner
Ericsson
2022.08 - 2023.08
Data Engineer - DATA
Data Scientest
2022.04 - 2023.02
Ingénieur Telecom
SFR
2016.09 - 2019.01
Master 2 - Réseaux Systeme Multimédia
CNAM
2010.09 - 2015.09
Ingénieur Telecom ( chef de projet)
SFR
2009.09 - 2022.03
Licence - Electronique Embarqué
Paris 13
2005.09 - 2008.09