Soukaina DOUKKANI

Objective:building scalable data platforms, seeking to contribute to electricity flexibility solutions in Morocco. Driven to support the energy transition by enabling flexible energy consumption, renewable integration, and storage optimization through reliable, secure, and high-performance data pipelines, in a flexible and remote-friendly working environment. -Designed, built, and maintained scalable data pipelines and ETL processes on AWS using Glue, Lambda, Step Functions, Athena, and S3. -Developed and optimized data architectures to support analytics, reporting, and business intelligence needs. -Implemented data governance, security policies, and quality controls to ensure data integrity, reliability, and compliance. -Monitored, optimized, and troubleshot data pipelines to improve performance, availability, and cost efficiency. -Collaborated with data scientists, analysts, DevOps, and product teams in an agile, remote, and multicultural environment. -Built and maintained data models, SQL databases, and schemas for large-scale datasets. -Automated infrastructure and deployments using CI/CD pipelines and Infrastructure as Code (Terraform). -Documented data processes, architectures, and reflex procedures to support knowledge sharing and long-term maintainability.

Objective: supporting the financial department by collecting, managing, and converting raw data into actionable insights. The goal is to develop and maintain the data infrastructure, ensuring efficient and reliable data pipelines and processes. -Collect, manage, and convert raw data into usable data for the financial department using the ELT process on GCP. -Develop scripts to ingest daily data into the data warehouse and apply transformations using Bigquery SQL. -Automate data flows for automatic and continuous data ingestion using Apache Airflow and Google Composer. -Develop new functionalities using Python to enhance costs and quality. -Use Docker to containerize applications for consistent and scalable deployment. -Manage source code versionning and and CI/CD pipelines using GitLab.

Societe Generale African Business Services (SG ABS) is a leading financial services provider dedicated to delivering innovative banking solutions across Africa. As a Risk Project Manager at SG ABS,I was responsible for overseeing risk management initiatives and projects across the organization. -Lead risk management projects from inception to completion, ensuring alignment with organizational objectives and timelines. -Develop project plans, define scope, and allocate resources effectively. -Gather, clean, and preprocess data from various sources to ensure quality and consistency using SQL. -Develop and maintain data pipelines for efficient data processing. -Use statistical techniques and Python libraries (e.g., pandas, numpy, scipy) to analyze data and generate actionable insights.

Objective: Contribute to develop and maintain a centralized digital platform to streamline and facilitate the issuance of urban and economic permits for Moroccan citizens called Rokhas.ma. -Identify client business objectives and requirements through in-depth consultations and workshops. -Design and configure customized solutions to meet specific client needs. - Lead solution implementation, oversee integration, and provide ongoing support. -Analyse data about permits delivrance using python and SQL. -Develop dashboards and reports to visualize data insights effectively using Qliksence. -Conduct user training, perform quality testing, and ensure compliance with standards.

Objective: build a robust web application that facilitates efficient internal communication and data sharing within a financial company, leveraging modern fullstack development technologies. Key technologies: -Conduct interviews and surveys with potential users within the company. -Identify key functionalities such as messaging, file sharing, notifications, and data access. -Design a scalable and secure system architecture. -Outline the interactions between the frontend, backend, database, and search engine. - Create a user-friendly application using React.js framework, bootstrap, CSS3 where users can view dashboards, search data, download CSV files and access procedures. -Use Node.js and express to create routes for user authentication, data management, and communication features with SQL server SGBD and elasticsearch indexes. - Setup ELK stack to create the data pipeline for indexing data from SQL Server to Elasticsearch using Logstash and develop API endpoints for searching and retrieving relevant data using elasticsearch queries. -Configure Windows Server settings for hosting the web application to ensure high-availability and reliability.

The objective is to develop a web application that provides object detection services specifically for the automotive industry. The application will be capable of detecting cars, related objects, engines, and license plates, leveraging a combination of image processing, deep learning, and optical character recognition (OCR). Key Technologies: -Deep Learning and Convolutional Neural Networks (CNNs): utilized for training the YOLOv3 (You Only Look Once) algorithm, which is known for its speed and accuracy in real-time object detection. -Computer Vision with OpenCV: employed for preprocessing images, including tasks such as deblurring, contour detection, and shape analysis. -Optical Character Recognition (OCR) with Tesseract-OCR: used for recognizing text in images, particularly for reading and interpreting license plate numbers. -Backend Development with Python and Flask: the backend API is built using Flask, a lightweight web framework for Python, to handle HTTP requests, process images, and return results. -Frontend Development: HTML5, CSS3, and JavaScript are used to create a user-friendly interface where users can upload images and view detection results. -Deployment on Ubuntu VPS: the entire application is deployed on an Ubuntu Virtual Private Server (VPS) to ensure high availability, scalability, and security.