| Date | April 4, 2025 |
| Venue | Conclave 1 |
| Resource Person | Mr. Bhupesh Daheria |
| Faculty Coordinator | Prof. Abhijeet More |
| Department | Computer Engineering |
| Event Objective | Aimed to expose students to current industry practices & emerging technologies |
| Event Outcome | Students gained knowledge about fundamentals of data science, machine learning, and AI, along with their real-world applications. |
The Computer Engineering Department of Pillai HOC College of Engineering and Technology (PHCET), Rasayani, in collaboration with the Aegis School of Data Science, successfully organized a seminar on 4th April 2025 at Conclave 1. The initiative aimed to expose students to current industry practices and emerging technologies in the field of data science and artificial intelligence (AI). The event saw the active participation of over 200 students from the Third Year (TE) and Final Year (BE) Computer Engineering programs.
Experts from Aegis delivered an engaging and informative session covering the fundamentals of data science, machine learning, and AI, along with their real-world applications in domains such as healthcare, finance, and logistics. A key highlight was a live demonstration of a machine learning model, offering students practical insights into the end-to-end data pipeline—from data preprocessing to prediction.
The speakers emphasized the growing role of AI in automation, smart systems, and decision-making, discussing both the advantages (efficiency, accuracy, scalability) and challenges (ethical concerns, job displacement, data privacy, and algorithmic bias) associated with its adoption. Students were introduced to essential tools and platforms like Python, R, SQL, Tableau, and TensorFlow, and received valuable guidance on career paths, certifications, and internship opportunities in the data science field.
The seminar concluded with an enthusiastic Q&A session, where students inquired about project development, startup prospects, and AI’s future impact. A senior faculty member delivered a heartfelt vote of thanks, appreciating the Aegis team for their time and insights. The session was a great success, leaving students inspired and better prepared to pursue careers in data science and AI.
