Data Science Experts Video Insights
Mr. Vinayak Nayak, Senior Associate – AI & ML, JP Morgan Chase & Co
Event Recap: Seminar on Artificial Intelligence & Machine Learning
On 12-oct 2024 , Digital Training Lab had the honor of hosting an insightful and practical seminar on Artificial Intelligence (AI) and Machine Learning (ML), led by Mr. Vinayak Nayak, a seasoned AI professional with a rich background in the data science domain. With hands-on industry experience across global organizations, Mr. Nayak offered a highly valuable perspective to both aspiring data scientists and working professionals.Mr. Vinayak Nayak has held prestigious roles such as Data Scientist at Okkular, Australia, then as Senior Data Scientist at Perfios Software Solutions, and is currently working as Senior Associate - AI & ML at JP Morgan Chase & Co. His experience spans multiple sectors, including finance, e-commerce, and AI innovation.
Key Highlights from Mr. Vinayak Nayak’s Seminar:
1 . Introduction to AI & ML : Mr. Nayak opened the session by simplifying the fundamentals of Artificial Intelligence and Machine Learning, explaining how these technologies mimic human intelligence to solve real-world problems. He also discussed key differences between supervised and unsupervised learning models.
2 . Career Path in AI & Data Science : With relatable stories from his own journey, he provided clear guidance on how to enter and grow in the AI/ML field. Mr. Nayak emphasized the importance of continuous learning, projects, and networking to succeed in this competitive domain.
3 . Hands-On EDA on Cricket Dataset : One of the most engaging parts of the seminar was a live demonstration of Exploratory Data Analysis (EDA) using a cricket dataset. Mr. Nayak walked the audience through the full data analysis pipeline—data cleaning, feature engineering, visualization, and interpretation of trends. This hands-on session gave attendees a practical understanding of how real-world data is approached and analyzed.
4 . Applications of AI in Industry : Mr. Nayak presented real use cases from his professional experience—ranging from building recommendation engines in retail to fraud detection in banking. These examples helped participants see the direct impact of AI in different industries.
5 . AI Project Workflow & Best Practices : He introduced a structured project lifecycle—problem definition, data sourcing, model building, testing, deployment, and monitoring. He also shared valuable tips on working with cross-functional teams and deploying models in production environments.
6 . Ethics & Responsibility in AI : A thoughtful discussion was held on the ethical concerns surrounding AI, including bias in algorithms, transparency, and data privacy. Mr. Nayak emphasized responsible AI practices that are now becoming essential across all sectors.
7 . Future Scope of AI & ML : Wrapping up the talk, Mr. Nayak discussed upcoming trends such as AutoML, GenAI, explainable AI, and the integration of LLMs (Large Language Models) into traditional business intelligence systems.
Key Takeaways for Attendees:
1. A clear roadmap to transition into or grow in AI & ML careers.
2 . Understanding how real-world data is prepared and analyzed.
3 .Practical exposure to EDA using a relatable dataset (Cricket).
4 . Insights into working in top global companies like JP Morgan, Perfios, and Okkular.
5 . Awareness of ethical implications and future AI trends
Organizing the Event
The event, organized by Digital Training Lab, was a tremendous success—attracting data enthusiasts, students, and industry professionals from across the region. Mr. Nayak’s engaging teaching style, combined with live demos, made complex topics easily understandable. Attendees appreciated the balance between theory, career guidance, and practical knowledge.A vibrant Q&A session concluded the seminar, where participants asked detailed questions about learning resources, project building, and job preparation. Mr. Nayak’s responses were detailed, motivational, and encouraging to all who attended.
