Selma Amalou Email & Phone Number

Algeria

Algeria

● Vulnerability Assessment & Penetration Testing (VAPT): Identifying and mitigating vulnerabilities in systems.● Network tools analysis to detect vulnerabilities and potential threats.● Incident Response & Forensics: Handling security incidents, conducting root-cause analysis, and implementing preventive measures.● Risk Management: Evaluating and mitigating risks to ensure organizational resilience.

Algérie

● Created Network Performance & KPIs Dashboards using PowerBI, providing valuable insights for decision-making.● Developed an executable application connecting the QGIS map to Ericsson's Radio and Transmission data sources such as ENM and SOEM, using Python and security protocols SSH/Telnet, fetching data from network nodes.● Automated Optimization Reports, generating daily reports from data extracted from diverse sources and Ericsson tools, ensuring timely delivery to the customer.● Integrated QGIS, PowerBI, and Ericsson data sources using Python, SQL requests and security protocols, enhancing mapping and visualization capabilities.● Developed Python scripts for automating tasks such as network monitoring, KPIs tracking, site status checking, and data extraction and organization.● Established connections to API Ericsson's powerful tools like Cognitive Software, demonstrating a deep understanding of network lifecycle processes.● Created various Python scripts to facilitate the treating of Customer Complaints, implementing an automated processes to monitor serving site's performance and KPIs during complaint occurrences and leveraged QGIS software for mapping complaints alongside relevant VDT export from Cognitive Software data such as RSRP, Throughput... facilitating rapid and efficient resolution, particularly during event management.

Algérie

- Coordinated the SSV Drive Test project for Ericsson Ooredoo, overseeing site verification processes.- Developed Dashboards using Tableau Desktop to represent network quality and single site verification status.- Utilized various tools including Python to fetch, organize, and analyze data for reporting purposes.

Alger, Algérie

- Utilized Advanced Forecasting Techniques: Employed sophisticated forecasting algorithms and statistical methods in Python and R to predict future import trends based on historical data, ensuring accurate and data-driven insights.- Python Programming: Manipulate, analyze, and visualize large datasets efficiently. Implemented various data preprocessing techniques and utilized libraries like Pandas and NumPy, for statistical analysis and machine learning algorithms.- Statistical Analysis with R: Utilized R programming language to perform in-depth statistical analysis, exploring patterns and correlations within the import data.- Applied R's extensive range of statistical packages to gain valuable insights into import behaviors and market trends.- Visualization and Interpretation: Developed interactive and informative dashboards using Tableau Desktop, enabling stakeholders to visually explore the forecasted import data. Created intuitive visualizations, charts, and graphs to communicate complex patterns and trends effectively.

Alger, Algérie

Doctorat, Machine Learning - Estimation & Optimization Of Real-Time Decision-Making For Drone Paths

- Developed and implemented machine learning algorithms, including Deep QNetworks (DQN), Proximal Policy Optimization, and Trust Region.

Master 2 (M2), Modélisation Stochastique Et Prévision En Recherche Opérationnelle, Major De Promotion

Licence, Mathematical Statistics And Probability