Data Science Frontiers: Exploring Graph Analytics & Innovations
The first session commenced
at 9:00 AM with Dr. N. R. Swathi delivering an in-depth talk on the various
aspects of graph theory and graph analytics. She elaborated on how relational
databases are gradually transforming into graph-based structures, emphasizing
their advantages in handling complex data relationships. Additionally, she
introduced students to the emerging fields of Graph Machine Learning and Graph
Retrieval-Augmented Generation (RAG), providing valuable insights into how
graph analytics is reshaping data science applications.
To enhance the learning
experience, Dr. Swathi conducted a hands-on session on graph theory using
Python. This practical component allowed students to apply theoretical concepts
in real time, strengthening their understanding of the subject. The session
concluded with an interactive Q&A session, where students engaged with Dr.
Swathi to clarify their doubts and discuss potential career paths in this
specialized domain.
The second day of the event
began with an informative session by Mr. Sai Raghav, where he discussed the
current trends in the data science industry. He guided students on key focus
areas when applying for various positions and highlighted the significance of
mastering foundational concepts. Additionally, he provided a comprehensive
overview of the Analytics Project Life Cycle, helping students understand the
step-by-step process involved in executing data-driven projects within an
organization.
Following Mr. Raghav’s session, Dr. Swathi took the stage to share her personal career journey, detailing her transition from a PhD in Mathematics to becoming a Data Scientist. She illustrated how her expertise in graph theory is being applied in her daily work, inspiring students to explore interdisciplinary applications of their academic knowledge. Her journey served as a motivating example for students interested in bridging the gap between theoretical research and practical industry applications.
The event concluded with an
engaging Q&A session, where both speakers addressed students’ queries and
provided mentorship on career pathways in data science. Their insights and
experiences offered students a clearer perspective on industry expectations and
skill requirements. The two-day event was highly beneficial, equipping students
with technical knowledge, career guidance, and hands-on experience in graph
analytics and data science. The enthusiastic participation and active
discussions showcased the students' keen interest in the evolving landscape of
analytics and its practical applications.
The School of Science at
CHRIST University extends its gratitude to Dr. N. R. Swathi and Mr. Sai Raghav
for their valuable contributions and mentorship. Such events continue to bridge
the gap between academia and industry, fostering a learning environment that
prepares students for successful careers in data science.
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