Headline

SQL • Python • Excel • Power BI • UAV •social media marketing • Content creation

About

Final-year Electronics & Communication Engineering student at PES University with hands-on experience in data analysis and machine learning projects. I have worked on: • Medical Insurance Cost Prediction (ML Regression) • Areca Nut Disease & Ripeness Detection (YOLOv8) • Deepfake Audio Detection (Kannada language) Skilled in SQL, Python, Excel, and ML modeling with a strong interest in data-driven decision-making. Actively seeking entry-level Data / Business Analyst or Analytics roles in Bengaluru.

Location

Bengaluru

AI stack

antigravity

claude

codex

gemini

meta

Canva Magic Studio

Work experience

Researcher at PESU, Aug 2024 - Present · 2 yrs 2 mos, •Project on "Ripeness and Disease detection of Areca nut plant". •Audio deepfake detection for the Kannada language •Prediction of energy consumption in drones •Medical insurance Prediction model

Research Intern at PES University, Jan 2026 - May 2026 · 5 mos, Applied quantitative techniques to a personality-trait prediction model (NLP, 71.38% accuracy), communicating results to non-expert stakeholders. Collaborated cross-functionally with faculty and peers, maintaining structured documentation and reporting standards.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, PES University

High School Diploma, PCMC, surana college