PADALA BALA VEERA SIVA SUBRAHMANYAM
P R O B L E M S O L V E R
Core Java
OOPs
MySQL
Python
OOPs
JDBC
Servlet-JSP
GIT
S K I L L S
street,Tadepalligudem,
AndhraPradesh-534101
adyma1@r.postjobfree.com
https://www.linkedin.com/in/p-
b-v-s-subramanyam-8a6a50233
Disciplined and optimistic individual with relevant technical knowledge. Looking forward to establish my career in a reputed organization to enhance my learning and gain experience in handling various responsibilities. P R O F I L E
E X P E R I E N C E
Coditas Solutions LLP Associate Software Engineer (Intern) 16/01/2023 – 12/05/2023
JAVA BACKEND DEVELOPER
Worked here as a Java Developer Intern for 5 Months Worked here on Core Java, JDBC, Java Servlet, JSP, Hibernate, Spring, Spring Boot, JPA, MYSQL, HTML, CSS, and Bootstrap. Learned about GIT and GitHub.
Developed multiple projects using Servlets.
Created REST API for multiple projects.
E D U C A T I O N
2017 pass out
BACHELOR OF TECHNOLOGY 2019-2023
C
C++(Basic)
Linux
Sathyabama Institute of science and Technology
- B Tech in Computer Science and Engineering.
- CGPA: 8.88
Sasi Educational Institutions,Velivennu
INTERMEDIATE 2017-2019
-CGPA:9.2
SSC
Sasi Educational Institutions,Kanuru
-CGPA:9.2
P R O J E C T S
Diabetes Prediction using ML
Used Machine Learning Algorithms
designed a website for this prediction using HTML,CSS used flask for integration
Job posting portal using Angular JS
Designed a website that allow following users.
User1: Job Seekers: can see how many jobs are available. User2:Job Posters: can post their requirements to get job. A C T I V I T I E S & A C H I E V E M E N T S
Participated in Workshop on Data Visualization using Tableau held at Sathyabama University
Achieved a certificate in Front End Development-CSS by Great Learning.
Achieved a certificate in Logical round in the event MATHMANIA2019 held at Sathyabama University.
12-week certification course on ML by Cognibot Certification 12-week certification course on Angular JS by Credo Systemz Certification Course on Artificial Intelligence by Smart Knower Key Responsibilities:
Face Recognition Using AI
Image Classification
extracted required features to classify the image
accuracy of 97.5% obtained
Maven
Hibernate
Spring Framework
Spring Boot
REST API
HTML5
CSS
Bootstrap