Currently, I am working at DataStories in Turnhout, Belgium as a Data Engineer for the client Procter & Gamble (P&G) and has developed ETL pipelines in Python, as well as Power BI dashboards to analyze trends in SUD rejects produced by equipment, track performance, and evaluate financial losses.

Before joining DataStories, I have worked as a Data Science and Machine Learning intern at Everis (NTT Data) in Brussels, Belgium. During this internship, I have implemented data analysis and ML modeling to understand customer journeys on the World Intellectual Property Organization (WIPO) portal.

My previous experience includes working as a Web Developer for Webmart Software Solutions in Aurangabad, India. As a web developer, I have designed, developed, tested, and deployed web applications, and managed full-stack development of web application projects.

I am holding a Master of Science in Applied sciences and Engineering: Computer Science (Artificial Intelligence Specialization) from Vrije Universiteit Brussels, where I worked on a ML thesis titled "Single-trial EEG classification to read human brain states." for classifying single-trial EEG data for normal and schizophrenia subjects. I also holds a Bachelor of Engineering in Computer Science and Engineering from PES College of Engineering in India.

I have a diverse experience in data science, data engineering and machine learning and worked on projects involving data analysis, data engineering, and ML modeling. My academic background in computer science and AI has provided me with a strong foundation in ML techniques, which I have applied to EEG data for single-trial classification project and internship.