Vijitha Thota

Ambitious, career-focused job seeker, anxious to obtain an entry-level Computer Science Intern position to help launch career while achieving company goals.. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

• Academic Excellence Certificate, 06/2020 - 06/2021, Awarded an Excellence certificate for being topper of the class
• Shield for being Topper of the Class, 04/2016 - 04/2017, Awarded a Shield for being Topper of the Class for 2016-2017 in Intermediate.
• Project Completion Certificate, 04/2021 - 05/2021, Project completion Certificate for the Project Credit Card Fraud Detection- using Python
• Course Completion Certificate, 04/2021 - 05/2021, Course Completion Certificate for Machine Learning Course

• Currently working as a Part-time Student Trainee at Dining Services On-campus.
• Pioneered personal clothing designs through self-driven skill development in sketching, pattern-making, and garment construction.
• Demonstrated excellent cooking abilities in various dishes and cuisines
• Proficiently organized and decorated multicultural events

• Automatic Html Code Generation from Mock-ups using Machine Learning

Generating an automatic html code by using mock-up images from the dataset

• Weapon Detection Using AI for Security Applications

Detection of weapons in security areas

• Credit Card Fraud Detection-Using Python

Prediction of whether a credit card transaction is fraudulent or not, based on the transaction amount, location and other related data.

Algorithms: Naive Bayes, Support Vector Machines, K-Nearest Neighbor

• Titanic Survival in Machine Learning using Python

Prediction of whether a passenger would survive on the Titanic taking into account, comparing and finding relations amongst various features.

Algorithm: Logistic regression model.

• Web Semantics project named Skiresort
• Database Management systems II project named Object-Oriented Database Management System (OODBMS) for Enhanced Data Mining

GPA - 3.68/4.00