Muralidhar Billa - RV University

Muralidhar Billa

Assistant Professor


  • About
  • Publication & Works
  • Research Summary
  • Awards & Achievements

I am a dynamic professional with a unique blend of expertise in engineering, data analysis, and customer service, developed through diverse roles and advanced studies. My journey began with a Bachelor’s in Mechanical Engineering, where I gained the technical knowledge to design and visualize complex mechanical components using tools like AutoCAD. Later, I pursued a Master’s in Information Systems from CQ University, allowing me to expand my focus into data analysis and business intelligence, mastering platforms such as Tableau, Power BI, and Python programming. This combination of technical and analytical skills empowers me to approach projects with a multifaceted perspective, bridging the gap between engineering precision and data-driven decision-making.

In addition to my background in engineering, I’ve further enhanced my analytical expertise through a Master’s in Data Science. This has equipped me with advanced problem-solving abilities, enabling me to harness automation and deep data insights to optimize processes and improve outcomes across various projects.

Currently pursuing a Ph.D. at RV University, focusing on the healthcare domain, I continue to expand my knowledge and apply my skills to research-driven solutions. My career is built on the philosophy that imagination fuels innovation, and I am committed to thinking creatively to solve problems and bring value to every project. With a strong foundation in both mechanical design and data analytics, I bring a versatile, results-oriented approach to every challenge.

Golden divider

Impossible is a dream we achieve through determination and action.

Music recommendations based on child emotions using Machine Learning, which gives music recommendations by identifying child facial emotions.


Depression Detection Based on NLP and ML Techniques Using Text and Speech Recognition


  • Applications of Machine Learning and Deep Learning
  • Research Interests
  • Multimodal - Healthcare Domain
  • Natural Language Processing - LLMs, Generative AI
  • 2nd Best paper in Alliance Symposium on AI for Medical Sciences (2022)

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