Summary
Overview
Work History
Education
Skills
Certification
Languages
Accomplishments
Extracurricular Activities
Affiliations
Websites
Timeline
Generic
POLKAM CHANDRAKANTH

POLKAM CHANDRAKANTH

Hyderabad

Summary

An emerging student pursuing a degree in information technology, familiar with windows operating systems, and proficient in java programming language. Experienced in setting up hardware, software, and company networks according to established requirements. Possesses a positive and upbeat attitude, coupled with a hardworking mentality, eager to learn and contribute as an information tech intern.

Overview

1
1
Certification

Work History

  • Successfully completed a 4-week virtual internship program in Java Programming
  • Received outstanding remarks for showcased skills and invaluable contributions to tasks and projects
  • Applied learned skills to practical assignments, enhancing problem-solving abilities and coding efficiency.

Education

Secondary -

TS Model School
Banswada,Telangana
03-2019

Inter mediate -

Sri Vijaya Sai JC
Bodhan,Telangana
03-2021

B.Tech. -

St.Martin's Engineering College

Skills

  • Java Programming Language
  • Python Programming
  • Database Programming and SQL
  • HTML Programming
  • Fluent in C, C#

Certification

  • JAVA(Apna Collega)
  • TensorFlow, Product Matters 3.0 Certificate
  • Python(Udemy)
  • Java Development, Internship

Languages

Telugu
First Language
English
Upper Intermediate (B2)
B2
Hindi
Intermediate (B1)
B1

Accomplishments

  • Badminton, First Prize, At College Level, 2023
  • Encarta, Secured 2nd rank in Quiz competition, 2022

Extracurricular Activities

Social worker,

Helping to poor Student Volunteer,

Helping in Events

Affiliations

  • INTERNET BANKING FOR CREGIT CARD USING QR CODE(2022)

-Developed and implemented a secure internet banking solution utilizing QR code technology for credit card transactions, enhancing user experience and transaction efficiency. Collaborated with cross-functional teams to ensure seamless integration and compliance with financial regulations.

  • ML Driven Fault Detection and Stability Assessment in Hydraulic Systems from Sensor Data(2024)

-Developed machine learning algorithms for fault detection and stability assessment in hydraulic systems, leveraging sensor data to enhance operational efficiency and predictive maintenance. Improved system reliability by identifying potential issues early, contributing to optimized performance and reduced downtime.

Timeline

Secondary -

TS Model School

Inter mediate -

Sri Vijaya Sai JC

B.Tech. -

St.Martin's Engineering College
POLKAM CHANDRAKANTH