Machine Learning Information Technology

BHOOPATHI SAIPRIYA

Mancherial, Telangana

https://www.linkedin.com/in/bhoopathi-saipriya-7546ab248

879******* ******************@*****.***

Objective

I am seeking a responsible career opportunity that will allow me to expand my knowledge and skills while making meaningful contributions to the success of the company.

Experience

INTERN@SUMPOSITIVE LLC

During my on-site internship at Sum Positive LLC, I specialized in backend development using Spring Boot for the Provicon project, and also gained experience in JUnit testing and API integration.

PROVICON Service-Based Application Designed a Consumer Provider Services Platform, offering subscriptions, onboarding, scheduling, billing, and third- party integration for customized industry solutions. Education

KAKATIYA UNIVERSITY COLLEGE OF ENGINEERING AND TECHNOLOGY, WARANGAL Bachelor of Technology, Information Technology

CGPA: 8.60

Diploma (Computer Science) CGPA: 8.54

SSC CGPA: 6.8

Skills

Web Technologies: HTML, CSS, JAVASCRIPT

Programming Languages: C, JAVA, PYTHON

Data-Analytics: Machine Learning

Version Control System: Git

Frame Work: Spring Boot

Databases: MYSQL, SQL

Other: Analytical skill, Problem solving, Communication Projects

DEVELOP AN EMAIL SPAM FILTER USING PYTHON

To detect the spam Developing an email spam filter using Python involves creating a system that can classify emails as either spam or not spam

(ham). The project typically follows these steps: Data Collection, Data Preprocessing, Feature Extraction, Model Training, Model Evaluation, Deployment by Python.

CHRONIC KIDNEY DISEASE DETECTION USING MACHINE LEARNING This project aims to detect chronic kidney disease (CKD) using machine learning, specifically the Random Forest algorithm, to ensure high accuracy. A medical dataset with patient health indicators is collected and preprocessed by handling missing values and encoding categorical variables. The Random Forest model is trained on selected features and evaluated using metrics like accuracy, precision, and recall. Cross-validation ensures the model's robustness. Once validated, the model is deployed to predict CKD in new patients, aiding early diagnosis and treatment. Achievements & Awards

5 stars in Hacker rank in JAVA

Sports: - District level 1st in kho-kho and Kabaddi Certificates

JAVA by unstop

Java, HTML, CSS By LinkedIn

Python by Great Learning

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