Abdessamad A.

With a robust foundation in software development, machine learning, IoT, and cybersecurity, I bring a versatile and advanced skill set ideal for innovative technology-driven projects. My expertise spans multiple programming languages (Python, Java, C, C++), front-end frameworks (Angular, JavaScript, HTML, CSS), and back-end solutions (Django, Flask, Node.js, Spring Boot), along with database management (MySQL, Oracle, SQLite). I’m experienced in developing machine learning models using Keras, Sklearn, and TensorFlow, with notable applications in NLP (TF-IDF, LSTM, AdaBoost) and predictive modeling, such as a word predictor and house price predictor. My work in IoT and robotics, like the Smart Planet Watering project for agriculture, demonstrates my proficiency in integrating hardware and software, leveraging platforms like Blynk and Arduino for real-time data analysis and automation. Additionally, I have a strong foundation in cybersecurity and network administration, utilizing skills in SQL injection, MAC spoofing, and security tools like Honeypot to ensure secure systems. Projects like the Intelligent Student Absence Management System, which uses facial recognition for attendance, highlight my ability to create impactful, AI-driven applications. Beyond technical skills, I am creative, motivated, and possess strong communication and leadership qualities. I’m actively seeking an end-of-studies internship in AI and data science to apply my expertise in real-world settings. I’m also open to projects in Big Data and Data Engineering, eager to work with large-scale data processing frameworks such as Hadoop, Spark, and Storm to manage, analyze, and extract insights from complex datasets. I am particularly interested in projects that blend data science with IoT and AI to develop smart, automated solutions across industries. My versatile experience makes me an ideal candidate for roles that demand a mix of development, data engineering, and machine learning expertise.