Banavatu Jyothi

M.Tech (Ph.D)

Assistant Professor

[email protected]


Ms. B.jyothi working as a Asst. Professor in the department of Data Science in Anurag University, having 17 years of Teaching experience. She received Master of Technology in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad in 2010, B.Tech (CSE) from JNTU ,Kukatpally and pursuing Ph.D from JNTU Kakinada.she Presented Research Papers in national and international conference and journal, published one Indian patent, and attended various FDPs and training programs. Qualified as Assistant Professor in APSET-2022 .She is the Convener for the AU Data Analytics Club and conducted various training programs in collaboration with QlikView and under her guidance 60 students got certified in Business Analyst Qualification and 200 students got certified in Data Literacy.she has organized the most prestigious IUCEE ANNUAL STUDENT FORUM (IASF)-2020. She has successfully completed many academic and industry certifications viz. the Open Group in TOGAF PART 1 Certification, IBM Application Developer cloud platform V1 Certification, QlikView Business Analyst Qualification, NPTEL in various advanced courses.

Research Interests

  • Machine Learning
  • Data Science and Analytics
  • Data MIning

Teaching Interests

Selected Publications

  • B Jyothi,et al presented a paper titled “Education through soft learning in India ” in National conference on Advancements in Computer and Information Technology (NACIIT) at D Y Patil college of Engg. Ambi,Pune
  • B.Jyothi et al “An overview of trajectory data mining techniques to enhance the Mobility
    detection”, TJCME, 2020,ISSN 1599-1607,Vol 11,No.3
  • B Jyothi et al, “A Data Analysis pipeline to Explore Demographic Information for Identifying COPD Patients” ,International Conference on Communication ,Computing and Electronic System (ICCCES-2021) ,coimbatore,Springer Book Chapter.

Selected Awards and Honors

  • Qualified as Assistant Professor in AP-SET 2022

External Profile Links

  • Google Scholar Id :
  • Linked in : b-jyothi-547987205
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