Summary
Overview
Work History
Education
Skills
A Project Hybrid Approach for Detecting Automated Spammers in Twitters
Donot Disturb Application(Project)
Shopping Cart, C(Project)
Certification
Languages
References
Projects
Timeline
Generic

VAISHNAVI DONTHINENI

Summary

Recent masters graduate have relevant knowledge of software design, development, and testing. Seeking to utilize a broad educational background with excellent analytical, technical, and programming skills to thrive as an entry-level software engineer. I am a believer in excellence, having the zeal to up-skill, being efficient and productive for the company’s development, and diversifying my professional skill set.

Overview

1
1
Certification

Work History

Machine Learning Intern

Verzeo
  • I worked using common Machine learning algorithms like Regression, Classification, KNN and CNN
  • Implemented normalization and standardization preprocessing techniques and applied image enhancement operations.
  • Recommended improvements to facilitate team and project workflow.
  • Created dashboards to visualize insights from the data.

React Intern

Mivo software solutions
  • As a React intern during my Bachelor's program, I embarked on a mini-intern project to develop a Weather App
  • The goal was to create a simple yet effective application that provides real-time weather information based on user input
  • I created a React application that allows users to enter a city or location, and the app fetches and displays the current weather conditions
  • The interface includes key information such as temperature, weather description, and an icon representing the current conditions.
  • Supported senior staff members in the completion of complex projects within deadlines.

Education

M.S. in Management Information Systems -

University of Memphis

B.S. in Computer Science -

Malla reddy engineering college

Skills

  • Web Development: CSS, React
  • Project Documentation
  • Basic Concepts of Java Script, Type Script, HTML, and Database Management Systems
  • Operating Systems: Mac OS, Windows
  • IDE: Eclipse, Visual Code
  • Machine Learning
  • RDMS Development

A Project Hybrid Approach for Detecting Automated Spammers in Twitters

  • Implemented a hybrid strategy to identify automated spammers on Twitter, using machine learning models and rule-based techniques to improve efficiency and accuracy.
  • The detection system was smoothly integrated with Twitter APIs, allowing for automated actions such as reporting, suspending, or restricting accounts identified as spammers.

Donot Disturb Application(Project)

  • This project includes features like variable time intervals, automatic message answers, and an easy-to-use UI.
  • For the graphical user interface (GUI), I used Java's Swing library and built multi-threading for fast background task handling.
  • This project demonstrates strong Java programming abilities, GUI creation, and the effective use of concurrent programming for a smooth user experience.

Shopping Cart, C(Project)

  • The aim of this project is to understand the basic principles of developing a console-based shopping cart application in C to enhance proficiency in algorithmic thinking and data manipulation.
  • Implemented data structures for products and functions for cart management, providing hands-on experience in C programming.
  • Designed a user-friendly console interface for adding items, displaying the cart, and calculating the total price.

Certification

  • AWS Security Fundamentals from Amazon
  • Verified achievement from Cisco

Languages

English
Professional

References

References available upon request.

Projects

A Hybrid Approach for Detecting Automated Spammers on Twitter:

· Implemented a hybrid strategy to identify automated spammers on Twitter, using machine learning models and rule-based techniques to improve efficiency and accuracy.

The detection system was smoothly integrated with Twitter APIs, allowing for automated actions such as reporting, suspending, or restricting accounts identified as spammers

Donot Disturb Application:

· This project includes features like variable time intervals, automatic message answers, and an easy-to-use UI.

· For the graphical user interface (GUI), I used Java's Swing library and built multi-threading for fast background task handling.

· This project demonstrates strong Java programming abilities, GUI creation, and the effective use of concurrent programming for a smooth user experience.

Shopping Cart in C:

· The aim of this project is to understand the basic principles of developing a console-based shopping cart application in C to enhance proficiency in algorithmic thinking and data manipulation.

· Implemented data structures for products and functions for cart management, providing hands-on experience in C programming.

· Designed a user-friendly console interface for adding items, displaying the cart, and calculating the total price.

Timeline

Machine Learning Intern

Verzeo

React Intern

Mivo software solutions

M.S. in Management Information Systems -

University of Memphis

B.S. in Computer Science -

Malla reddy engineering college
VAISHNAVI DONTHINENI