Machine Learning Entry-Level

GADAPA NAVEEN KUMAR

+91-939*******

naveenkumargadapa831@gmail.

com

Alwal,Hyderabad-500010

Objective "A detail-oriented and passionate Computer Science graduate looking for an entry-level software development role. Eager to apply programming skills, problem-solving abilities, and academic knowledge to contribute effectively to a forward-thinking tech team."

Education B.Tech:

St.Peter’s Engineering college,

Maisammaguda,kompally-500100.

Computer Science and engineering(Artificial intelligence and machine learning) GPA – 6.5

Intermediate:

Sri Chaitanya Junior Kalashala,

Alwal,Medchal-malkjgiri.

Percentage-83.

Schooling:

Krishnaveni Talent School,

Alwal,Medchal-Malkjgiri.

G.P.A – 8.5

Key Skills Python

SQL

C

Java

Machine learning

Data Structures

Communication

Problem-solving

Team work

Quick learner

Time management

Decision-making

Internships

and

Achievements

I have completed my virtual internship at CodeAlpha in Python Programming

I have completed my virtual internship at CodeTech IT Solutions in Python Programming

Certified in creating a tic-tac-toe using java and C++ at Coursera Academic

Projects

Smart posture estimation for health care using machine learning: This project explores the use of artificial intelligence and computer vision for real-time posture analysis to address issues related to sedentary lifestyles and poor ergonomics. Using deep learning models trained on skeletal key spoint data, the system detects postural misalignments during sitting and standing by analyzing body landmarks through pose estimation. It provides personalized feedback to promote corrective actions, with performance evaluated using metrics like accuracy, precision, recall, and mean squared error. The project also considers ethical aspects such as data privacy, GADAPA NAVEEN KUMAR

positioning the system as a supportive health tool rather than a diagnostic device.

Youtube Spam Comments Detection Using Machine Learning: this project focuses on detecting spam comments on YouTube using Machine Learning to enhance user experience and platform safety. By employing a Naive Bayes classifier, the system analyzes features like links, repetitive keywords, and promotional phrases to accurately classify comments as spam or legitimate. The approach addresses the evolving tactics of spammers and aims to support more effective moderation of harmful or misleading content. Languages

known

English

Telugu

Hindi

Contact this candidate