Sai Praneeth KMG

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level position. Ready to help team achieve company goals.

Introduction to Cybersecurity Tools & Cyber Attacks

• Football
• Volunteering for the CVIT conference, helped organize the event.

• Temperature sensor, Moisture sensor, Humidity sensor interfacing using PIC18F4550:

This project tells us the different parameters like temperature and moisture and

could be used in IOT applications like automatic watering of plants and such.

• Comparative Analysis Of machine learning Algorithms For fraudulent Activity Detection:

In this project, Machine learning techniques like Logistic regression, XGBoost, Decision

Tree and Random Forest were used to detect the fraud. • Sensitivity, Specificity, accuracy and

error rate is used to evaluate the performance for the proposed system. • The accuracy for: o

linear regression: 0.9989 o XGBoost: 0.9998 o Decision tree: 0.9991 o Random Forest :0.9987

By comparing all the four methods, it is found that XGBoost classifier is better than the linear

regression, decision tree and random forest.