Parag Saxena, a seasoned AI ML Data Scientist, embodies a unique blend of academic excellence and industry expertise. With a master’s degree in Data Science and Analytics, his career spans vital sectors like banking, retail, and power generation. Parag is a visionary, having deployed sophisticated machine learning models, authored research papers, and shared his expertise on prestigious platforms.

His technical prowess is matched by a heartfelt dedication to mentorship and collaboration, as evidenced by his leading roles in Generative AI and Machine Learning Operations. Parag is not just a Data Scientist; he is a storyteller who uses data to narrate tales of trends, predictions, and insights. 

Beyond his professional pursuits, Parag's life is a testament to the power of continuous learning and growth. He stands as an embodiment of the belief that our work is not just about what we build, but also the knowledge we share and the communities we uplift.




Dr. Alok Tiwari holds a Ph.D. in Biomedical Engineering from IIT-BHU, following his Master's degree in the same field from NIT Kurukshetra and a Bachelor's degree in Electronics and Communication from IET Sitapur. 

He is currently working as an Assistant Professor of Big Data Analytics at the esteemed Goa Institute of Management (GIM), located in Sanquelim, Goa. He brings a comprehensive skillset across Data Science, Data Engineering, Artificial Intelligence, and Machine Learning, making him adept at tackling complex problems with robust solutions. 

His expertise extends beyond traditional data analysis. He is proficient in a variety of programming languages and tools, including Python, R, SQL, Git, and CI/CD pipelines. This allows him to work seamlessly with diverse databases (MySQL, MongoDB) and leverage high-performance computing resources like GPU Workstations for large-scale projects. 

Dr. Tiwari's background in Biomedical Engineering fuels his passion for applying advanced data science techniques to healthcare challenges. His Ph.D. research focused on medical image analysis, specifically using transfer learning for COVID-19 classification and cardiac MRI segmentation. This experience positions him well to contribute to the growing field of AI-powered healthcare solutions. 

In his leisure time, he enjoys indulging in various activities such as listening to music, singing songs, playing cricket, badminton, and chess.