Faculty

Educational Qualifications

• M.Tech in Information Technology (Data Science) – Jawaharlal Nehru Technological University–Gurajada, Vizianagaram, with a CGPA of 8.33.
• B.Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) – Avanthi’s Research & Technological Academy, Vizianagaram, with a CGPA of 7.69.
• Intermediate (MPC) – Vidwan Junior College, Andhra Pradesh, with a CGPA of 5.57.
• Secondary School Certificate (SSC) – Holy Spirit E.M. School, Bobbili, Andhra Pradesh, with a CGPA of 8.8.

Teaching Experience

• Worked as a Teaching Assistant / Guest Faculty at JNTU-Gurajada, Vizianagaram, from August 2025 to May 2026
• Delivered lectures and laboratory sessions for undergraduate students.
• Taught subjects including:
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Statistics with R Programming
• Guided students in coding, model development, assignments, and mini-projects.
• Assisted in academic evaluations and student mentoring activities.

Research Publications

•          “The Volatility Divergence of Energy: A Statistical Analysis of Indian CPI Components Post-COVID” in the International Journal of Scientific Development and Research (IJSDR), Volume 11, Issue 2, February 2026, which analyzed post-COVID energy inflation trends in India using statistical methods to examine CPI components, volatility patterns, and their economic implications.
•          “Smart Budget Allocation in Public Policy: A Data-Driven Approach for Equitable Resource Distribution” in the International Journal of Research and Scientific Innovation (IJRSI), Volume 12, Issue 9, September 2025, proposing a data-driven framework for equitable budget allocation through machine learning and statistical analysis using real-world datasets to enhance resource distribution and policy decision-making.

Academic & Research Projects

• Cardiovascular Disease Risk Prediction using Machine Learning: Developed an end-to-end machine learning system using Random Forest and Logistic Regression on over 70,000 clinical records and deployed the predictive model using Flask.
• CRYPT-DAC: Designed a cryptographically enforced dynamic access control framework for secure cloud environments.
• Face and Eye Detection using Haar Cascades: Implemented a real-time computer vision application using OpenCV for surveillance and human-computer interaction systems.

Internships & Training

• Full Stack Java Intern – Avanthi’s Research & Technological Academy (December 2023 – April 2024).
• Salesforce Developer Virtual Intern – SmartInternz & AICTE (November 2023 – January 2024).
• Cyber Security Intern – Ava Intern (June 2023 – July 2023).
• Web & Python Intern – Datapro Computers Pvt. Ltd. (July 2022 – August 2022).

Certifications

• Artificial Intelligence Fundamentals – IBM SkillsBuild
• AI Agents Intensive Course – Google & Kaggle
• Salesforce Developer Virtual Internship – SmartInternz
• Quantum Computing (PDP) – VNRVJIET & Blackbucks Group
• Data Analytics with Tableau – SmartInternz
• Azure & AI Fundamentals – Microsoft
• Financial Literacy & Digital Productivity – UNICEF

Workshops & Academic Activities

• Participated in workshops on Mobile App Development, DevOps, and Big Data.
• Served as a Google Student Ambassador under the Google India Student Community.
• Contributed to community outreach initiatives focusing on Renewable Energy Awareness.

Technical Skills

• Core Areas: Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Statistics with R, Cyber Security, Cloud Computing.
• Programming Languages: Python, R, Java, C, SQL.
• Tools & Technologies: Flask, Tableau, Power BI, MySQL, Firebase.
• Platforms: AWS (Basics), Salesforce.