Summary
Overview
Work History
Education
Skills
Personal Information
Internship
Participationsandachievements
Languages
Projects
Disclaimer
Timeline
Generic
YASWANTH SAI CHITHALURI

YASWANTH SAI CHITHALURI

SOFTWARE DEVELOPER
Charleston,IL

Summary

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Overview

3
3
years of post-secondary education

Work History

Web Developer Intern

PITTSBURGH Technologies
  • Designed e-Commerce Fashion Website using Java as Back-end and HTML as Front-end
  • It would make filtering options like searching, viewing and selection of product and billing easier.
  • Developed user interfaces with modern JavaScript frameworks, HTML5, and CSS3
  • Followed best practices for software development and web security
  • Used content creation tools and digital media to design web sites

Education

B.Tech-(CSE) -

ICFAI University

Intermediate (12th standard) -

Sri Gayathri Junior College
Hyderabad
07.2016 - 05.2018

Secondary School Certificate (10th standard) -

Greenwood High School
Khammam
06.2015 - 05.2016

Master of Science - Computer Engineering Technology

Eastern Illinois University
Charleston, IL
05.2001 -

Skills

Accepting Challenges

Quick learner

Easy communicate with new people

Basics of C-Programming

Python

Basics in EXCEL

Machine Learning Algorithms

Personal Information


  • Date of Birth: 11/17/01
  • Nationality: Indian

Internship

Web Developer Intern, PITTSBURGH Technologies, Designed an e-Commerce Fashion Website using Java as Back-end and HTML as Front-end. It is very interactive and ease of use. It would make filtering options like searching, viewing and selection of a product and billing easier.

Participationsandachievements

  • I have done two projects on machine learning algorithms using PYHTON.


Languages

English
Telugu
Hindi

Projects

TITLE: 

Rank Applications for Nursery Schools using Machine Learning Algorithms

This Project main motive is to filter the students drop out rate in educational needs. The Study was conducted using Association Mining rules where several mining rules were generated using multiple algorithms. Among all those Algorithms, DecisionTreeClassifier and GradientBoostClassifier has the best accuracy i.e., 99.6%. LYMPHOGRAPHY using Machine Learning Algorithms, The project involves in a dominant area of modern-day research in the field of Medical investigations that include disease prediction and malady categorization. 


TTITLE: LYMPHOGRAPHY

This Data Set comprises of 18 predictor attributes and 148 instances with the class label having 4 distinct values. I used 6 Algorithms in this project. Amongst of all GradientBoostClassifier has the best accuracy i.e., 86.7%.

Disclaimer

I hereby declare that above mentioned particulars are true to the best of my knowledge.

Timeline

Intermediate (12th standard) -

Sri Gayathri Junior College
07.2016 - 05.2018

Secondary School Certificate (10th standard) -

Greenwood High School
06.2015 - 05.2016

Master of Science - Computer Engineering Technology

Eastern Illinois University
05.2001 -

Web Developer Intern

PITTSBURGH Technologies

B.Tech-(CSE) -

ICFAI University
YASWANTH SAI CHITHALURISOFTWARE DEVELOPER