Abhishek Varma Penmetsa

Accomplished professional with a Master's in Information Technology and Management from The University of Texas at Dallas. Expertise in Java, Python, SQL, and business management, complemented by AWS certification. As a Member of the Board of Directors at ASR and PENMETSA SUBBA RAJU Educational Groups, excelled in business strategy development, achieving a revenue increase and securing investments for technological advancements. Academic projects demonstrated proficiency in machine learning and IoT, including developing innovative solutions like an Asthmatic Disease Surveillance System and a Two-Wheeler Safety System.

AWS Certified Solutions Architect - Associate

A Case Study on SBA Loan Defaults to Improve Credit Risk Assessment Using ML

• Conducted detailed EDA and preprocessing of dataset (807,425 rows, 27 columns) using pandas and NumPy.
• Evaluated models: Logistic Regression (82.07%), Random Forest (79.40%), Linear SVC (81.66%), Decision Tree (78.99%).
• Conclusion: Logistic Regression is the most accurate for loan default prediction.

Asthmatic Disease Surveillance Systems.

• Developed ADSS to reduce hospital readmissions for asthma patients using IoT and machine learning.
• Created patient profiles, integrated IoT devices, and developed desktop/mobile applications.
• System monitors vital signs and schedules telehealth appointments, improving patient care and reducing costs.

Accident Detection, Prevention and Reporting for Two-Wheeler Safety System.

• Developed a safety system using a smart helmet and intelligent bike to reduce accidents.
• Implemented service improvements using Python and Raspbian OS, reducing application load by 30%.
• Enhanced customer satisfaction by 80% using Raspberry PI, Arduino, and various sensors.