Tejaswi Davula

Analytical and detail-oriented B.Tech student in CSE-AIML with strong skills in data analysis, Excel, Python, and visualization. Passionate about discovering trends in data, building reports, and solving business problems through insight-driven decisions. Eager to grow in digital media, client communication, and project management.

Human Activity Classification using Shimmer wearable sensors for Health Monitoring

• Developed a human activity recognition system using Shimmer sensors to classify actions like walking, running, sitting, and lying down.
• Processed time-series sensor data, extracted key features, and applied ML models to improve classification accuracy.
• Achieved 99.55% accuracy, outperforming baseline systems (91.95%), with significant gains in precision, recall, and F1 score.

• Static Website
• Responsive Webiste
• Python