Data Science and Machine Learning Trainee

I am a Bachelor of Engineering graduate in Electronics and Communication Engineering and a Data Science with Generative AI and Machine Learning trainee. I am seeking an entry-level IT role where I can apply my technical knowledge and problem-solving abilities.

I have hands-on exposure to Python, SQL, data analysis, statistics, MS Excel, and Tableau. I enjoy turning data into meaningful reports, dashboards, trends, and forecasting insights that support data-driven decision-making.

I have experience working with IoT devices, ESP32-based systems, embedded systems, sensor monitoring, connectivity testing, and technical troubleshooting. I am comfortable documenting observations, system behavior, test outcomes, and technical processes.

I have also performed REST API testing with Postman, including response validation and documenting test results. My internship experience has helped me develop structured debugging, monitoring, and technical support skills.

Through academic and practical projects, I have built a machine-learning demand forecasting workflow, an interactive sales dashboard, an IoT-based wireless EV charging prototype, and an Alexa-Telegram automation system. I am motivated to continue learning and contribute effectively in an IT, data, support, or technology-focused team.