Faculty CSE (Data Science) - BRIL 
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🎓 Admissions Open for 2026-2027  |  Call us: +91-990-881-0491  |  WhatsApp Now       🎓 Admissions Open for 2026-2027  |  Call us: +91-990-881-0491  |  WhatsApp Now      
Abdullapurmet, Hyderabad - 501 505 | Near Ramoji Film City
Brilliant Institute of Engineering and Technology
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
BRILLIANT INSTITUTE OF ENGINEERING & TECHNOLOGY
UGC AUTONOMOUS INSTITUTION
Accredited by NAAC with "A" Grade  |  Approved by AICTE  |  Affiliated to JNTU-H
Abdullapur (V), Abdullapurmet (M), Rangareddy (D), Hyderabad - 501 513
EAPCET / ECET / POLYCET / PGECET / ICET Code: BRIL
18 Years
AICTE
JNTU-H
UGC
NAAC A Grade
NIRF
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Faculty

CSE (Data Science)

The Department of CSE (Data Science) is supported by a team of highly qualified, experienced, and dedicated faculty members. Our faculty bring a combination of strong academic credentials and industry exposure, ensuring students receive both theoretical knowledge and practical insights in data science, machine learning, and analytics.

The department has well-qualified faculty with Ph.D and M.Tech degrees from reputed universities. Faculty members are actively involved in research, publications, and industry collaborations in data science, artificial intelligence, and big data technologies.
S.No. Name of the Faculty Qualification Designation
1 Radhika Thirunahari M.Tech Head of Department
2 Nomula Yugesh Kumar M.Tech Assistant Professor
3 Pyavula Nageswara Rao M.Tech Assistant Professor
4 Singirikonda Swetha M.Tech Assistant Professor
5 Lella Jithender Reddy M.Tech Assistant Professor
6 Venkateswar Rao Nisankara M.Tech Assistant Professor
7 Brahmam Makthala M.Tech Assistant Professor
8 Srikanth Manne M.Tech Assistant Professor
9 Addagudi Sandeep M.Tech Assistant Professor
10 Pavan Kumar Yadav Boddusu M.Tech Assistant Professor
11 Gardas Sonia M.Tech Assistant Professor
Faculty Highlights
  • Faculty with Ph.D and M.Tech qualifications from reputed universities
  • Average teaching experience of over 6 years
  • Active researchers with publications in SCI and Scopus indexed journals
  • Participants in FDPs, workshops, and NPTEL certifications
  • Industry experience in data analytics, AI, and software development
Research & Expertise Areas
  • Data Science & Big Data Analytics
  • Machine Learning & Deep Learning
  • Data Visualisation & Business Intelligence
  • Natural Language Processing & Text Mining
  • Cloud Computing & Distributed Systems
  • Statistical Modelling & Predictive Analytics

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