As an IoT enthusiast, I have hands-on experience working with connected devices, including Arduino, ESP8266, and Raspberry Pi. I’ve completed multiple projects involving hardware integration, sensor networks, and wireless communication systems. My expertise spans IoT system design, PCB development, and troubleshooting, with a focus on creating efficient, real-world solutions through automation and connectivity.

As a Data Science intern, I gained valuable experience in data analysis, visualization, and building predictive models. I worked with large datasets to uncover insights, using Python, SQL, and various machine learning libraries. My work involved cleaning and processing data, feature engineering, and model evaluation, strengthening my analytical skills and passion for solving data-driven challenges.

I developed a strong foundation in machine learning algorithms and artificial intelligence applications. I worked on data analysis, model training, and deploying solutions for real-world problems. This hands-on experience enhanced my skills in Python, data science libraries, and building predictive models, solidifying my passion for AI/ML and its transformative potential across industries.

As an Automation System Engineer, I have gained extensive experience in hardware development, testing, and automation systems. My expertise includes working with Arduino, ESP8266, motors, sensors, and other hardware components, alongside developing and troubleshooting IoT systems. With hands-on experience in automation testing and designing innovative solutions, I have successfully completed several projects focused on optimizing performance and efficiency in IoT environments. Passionate about technology, I thrive on solving complex problems and continuously expanding my knowledge in the rapidly evolving field of automation and hardware development.