I'm a Data Scientist, with a master's degree in Embedded Software Development, with a passion for programming, transforming complex data into actionable insights to drive innovation and smarter decisions.During my study, I've developed/participated in several embedded projects from user requirements and brainstorming all the way to the presentation. Those projects helped me gain experience in Machine Learning, programming languages like C, C++, and Python, Linux, Git for version control, and statistics.🔷 PROFESSIONAL EXPERIENCE 🔷𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐚𝐧 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 (𝐃𝐞𝐜 2023- 𝐉𝐮𝐧 2024)• As Embedded Software Engineer, contributed to writing and reviewing software technical requirements and modular architecture design. Utilized CI/CD with Azure DevOps during development, including unit testing, to enhance project automation and structure. Updated the architecture design throughout development phase.• This approach improved team communication, reduced unnecessary discussions, and significantly saved time during development.𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐔𝐧𝐢𝐭/𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐈𝐨𝐓 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐑𝐨𝐮𝐭𝐞𝐫 (𝐃𝐞𝐜 2023 - 𝐉𝐮𝐧 2024)• As Embedded Software Engineer, performed debugging, unit testing, and integration testing to ensure software quality and reliability. The project was coded in C, with integration testing written in Python. • This approach led to a significant reduction in post-release bugs, improving the software's stability.🔷 PERSONAL PROJECTS 🔷𝐒𝐭𝐨𝐜𝐤 𝐌𝐚𝐫𝐤𝐞𝐭 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐋𝐒𝐓𝐌 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 • Implemented a stock market prediction model using LSTM networks, addressing the challenges of noisy data and external factors. Compared LSTM performance with other models and integrated sentiment analysis to enhance prediction accuracy.• This project provided useful market insights by addressing noise and external factors.𝐅𝐫𝐚𝐮𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧𝐬• Developed an unsupervised anomaly detection model using autoencoders to identify fraudulent transactions. Implemented dimensionality reduction and deep learning techniques for improved performance and visualization.• This project demonstrated high accuracy with minimal false positives, showcasing effective fraud detection capabilities.I love networking with new people! You can reach me at alex.soufi59@gmail.com