SRIYA DONGALA

Motivated and enthusiastic individual seeking a customer support role. Possesses strong communication skills, a passion for helping others, and a willingness to learn and adapt. Eager to contribute positively to a team environment, and provide excellent service to customers. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

• SQL Course, Scaler Academy
• Python Course, Scaler Academy

• English
• Hindi
• Telugu

• Reading novels
• Listening to music
• Playing badminton

Prediction of diabetes using hybridization-based machine learning:

To perform our experiment, we have used a publicly available dataset named the Pima Indians Diabetes Database This dataset includes various diagnostic measures of diabetes disease The dataset was originally from the National Institute of Diabetes, Digestive, and Kidney Diseases All the recorded instances are of the patients whose ages are above 21 years old Our proposed model consists of 5 phases

Gas Leak Detection and Auto Booking System: 

Gas level sensing and automatic booking are created with a variety of features that are implemented using Node MCU, and this device will serve as a single system with different applications for LPG consumers The device keeps track of the gas level load and displays it in the app It also uses a gas sensor to detect gas leaks, and if one is detected, the buzzer is activated, and the user is notified through mobile. This includes the option of ordering a new LPG cylinder if the gas level drops to dangerously low levels, and after that, it sends a mobile alert

• PYTHON
• SQL
• MS EXCEL/ GOOGLE SHEETS