Event Recap: Seminar on Artificial Intelligence & Machine Learning
Mr. Saheel Godhane is a skilled Machine Learning Engineer at Bluebird and a former Data Scientist at Microsoft. A proud graduate of Indian Institute of Technology Chennai, he brings strong expertise in AI, Machine Learning, and Data Science with hands-on industry experience in building impactful, data-driven solutions.
Event Recap: Expert Session by Mr. Saheel Godhane on AI & Data Science Careers
1 . Understanding Artificial Intelligence (AI) : Mr. Saheel explained the fundamentals of Artificial Intelligence, how machines learn from data, and how AI is transforming industries like finance, healthcare, e-commerce, and technology. He simplified complex concepts, making them easy for students to understand.
2 . Career Paths in Data Science & AI : He provided a clear roadmap of career opportunities in Data Science and AI, including roles such as Data Analyst, Data Engineer, and Machine Learning Engineer. He explained how students can choose the right path based on their interests and skills.
3 . Data Analyst Roles & Responsibilities : He discussed the day-to-day responsibilities of a Data Analyst, including data cleaning, visualization, reporting, and deriving business insights. He also highlighted important tools like Excel, SQL, Python, and Power BI.
4 . Building a Strong Portfolio : Mr. Saheel emphasized the importance of hands-on projects and real-world case studies. He guided students on how to build an impressive portfolio through GitHub projects, dashboards, and practical problem-solving work.
5 . Data Engineer & Machine Learning Engineer – Real-World Insights : He explained the core responsibilities of Data Engineers in building data pipelines and managing large datasets, along with Machine Learning Engineers who develop and deploy AI models. Real industry examples helped students understand practical applications.
Key Takeaways for Attendees:
1 . A clear roadmap to start or advance a career in Data Science & AI.
2 . Strong understanding of roles like Data Analyst, Data Engineer, and ML Engineer.
3 . Practical guidance on building an industry-ready portfolio with real-world projects.
4 . Insights into how AI and data solutions are applied in real business environments.
5 . Awareness of future trends, skill requirements, and growth opportunities in AI & Machine Learning.
Organizing the Event
The event, organized by Digital Training Lab, was a remarkable success, drawing students, aspiring data professionals, and AI enthusiasts from across the region. The session was thoughtfully structured to ensure a perfect balance between conceptual understanding and real-world industry insights.Mr. Saheel Godhane’s engaging presentation style, practical examples, and career-focused guidance made the session highly impactful. He simplified complex AI and Data Science concepts, making them accessible even to beginners.The event concluded with an interactive Q&A session, where attendees asked insightful questions about career paths, portfolio building, skill development, and job preparation. His clear, practical, and motivating responses left participants inspired and confident about pursuing careers in AI & Data Science.
Data Science Learning Series -1