PROFESSIONAL SUMMARY

Artificial Intelligence and Data Science undergraduate with a strong foundation in programming and machine learning concepts. Skilled in Python, data analysis, and basic model development, with hands-on experience in academic projects. Seeking an internship to apply technical knowledge to real-world problems, gain practical industry experience, and further develop analytical and problem-solving skills.

EDUCATION
Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science, Nalla Malla Reddy Engineering College
  • •Expected Graduation: June 2027
  • •Current CGPA: 8.5/​10
    • 06/2027
    SKILLS
    Programming Languages

    C, Java, Python

    Technical Interests

    Generative AI, Artificial Intelligence

    Tools

    GitHub, VS Code, Pandas, NumPy, Matplotlib

    Projects & Academic Activities

    Smart Finance Tracker

  • •Built 1 responsive website for a social outreach initiative, increasing information access for 100+ users.
  • •Collaborated with a team of 3–4 members to design and deliver 5+ core features on schedule.
  • •Structured 10+ web pages with consistent navigation, improving usability by ~30%.
  • •Built a web-based ML system to detect AI-generated text, images, and URLs with ~90% prediction accuracy.
  • •Analyzed 3 input types (text, images, URLs) using pattern-based ML techniques to flag suspicious inputs.
  • •Extracted 5+ behavioral and pattern features per input, improving detection reliability by ~20%.
  • •Developed a Flask API that returns classification results in under 2 seconds per request.
  • •Validated the model on 1,000+ test inputs, reducing false positives and negatives by ~10%.
  • •Generated probability-based confidence scores (0–100%) per prediction, replacing binary outputs.
  • •Built a web application analyzing medical reports (PDF/​JPG/​PNG) with ~90–93% classification accuracy.
  • •Processed 3 file formats (PDF, JPG, PNG) using automated OCR-based text extraction.
  • •Analyzed 20+ medical parameters per report, flagging abnormal values for immediate review.
  • •Generated structured summaries cutting manual reading time by ~50% per report.
  • •Delivered results via a Streamlit interface with under 3 seconds response time per query.
  • •Tested on 100+ sample reports, improving output consistency and reducing errors by ~10%.
    • Certificates & Training
    PGDCA In Vision Computers Education

    Vision Computers Education | Jul 2024 – Sep 2024

    IBM Skills Build Program on Agentic Ai - CSRBOX:⁠

    IBM SkillsBuild | Jul 2025 – Aug 2025