Swetha Cheeli

My academic project, Artificial Image Classification and Detection using Machine Learning, used SVM and CNN algorithms to achieve 95% accuracy. I also used Pandas and NumPy for data preprocessing.

I created a Student Management System with responsive HTML5 and CSS3 interfaces and a DBMS backend. Database normalization and query optimization improved its performance by 25%.

For the Wells Fargo Software Engineering Job Simulation through Forage, I identified data entities and relationships and drafted an ERD that was 90% accurate against the project specifications. I used IntelliJ to implement the design.

I’m seeking to start my career as a Software Engineer in a growth-oriented organization. My foundation includes Python, data structures, statistics, and machine learning and deep learning models built through academic projects.