As a Data Co-op at Schneider Electric, I am actively applying and expanding my skills in Data ETL processes, Data Pipelining, and Automation projects. This role allows me to merge my technical expertise with real-world applications, further enhancing my ability to deliver impactful data solutions.Previously, as a Senior Analyst at Capgemini, I utilized my web development and data science skills to deliver high-quality software solutions for a diverse range of clients. I worked extensively with Angular JS to design and develop e-commerce websites, backend models, and API endpoints for complex scientific workflows. Additionally, I integrated machine learning and cybersecurity techniques to enhance both functionality and security across various applications.Currently, I am pursuing a Master’s degree in Information Systems at Northeastern University, where I am honing my skills in advanced analytical methods and tools to tackle real-world challenges. My passion lies in exploring the applications of machine learning, from predicting future pandemics and influencing ideologies to enabling self-driving cars. I am proficient in Java, R, and Amazon QuickSight, and I hold multiple certifications in voice assistant training, data science with R, and machine learning on Google Cloud.I thrive in environments that foster learning and cultural exchange, and I am committed to continuous personal and professional growth. I firmly believe that the world is driven by individuals like us, who are innovating and creating value from behind the scenes.