Summary
Overview
Work History
Education
Skills
Languages
Key Technical Skills
Training Certificates
Personal Information
Projects
Disclaimer
Timeline
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SHAIK ARSHIYA TAJ

Rayachoti

Summary

I want to work for an organization that gives me responsibilities along with the opportunity to grow and learn. I will work with the best of my abilities and make myself an integral part of the organization.

Overview

2
2
years of professional experience

Work History

SAP Sucessfactor

Tech Mahindra
03.2022 - Current
  • Providing support in SAP for global issues.
  • Maintain skills in SAP applications process design and configuration.
  • Cultivated interpersonal skills by building positive relationships with others.
  • Provide technical and functional expertise in the implementation, customization, and support of SAP.
  • Keep up to date with the latest SAP technology trends and developments and provide recommendations for continuous improvement.

Education

BTECH -

Sri Sai Institute of Science& Technology
01.2021

Class XII -

Raju Jr. College, Rayachoti
01.2017

Class X -

The P.T.A School, Bangalore
01.2015

Skills

  • Positive Attitude
  • Capable to adjust any type of environment
  • Self motivation and smart worker with innovative ideas
  • Hard working
  • Patience
  • Communication Skills

Languages

English, Telugu

Key Technical Skills

C, C++, java, Python, Windows Environment, Microsoft Office

Training Certificates

Python Programming : I did my Python Programming Course from Dhaapps Training Institute in HYDERABAD.

Personal Information

  • Date of Birth: 10/01/99
  • Gender: Female
  • Nationality: Indian
  • Marital Status: Unmarried

Projects

DETECTION OF SOCIAL NETWORKING SPAM BASED ON EXTREME MACHINE LEARNING, With the rapid advancement of the online social network, social media like Twitter has been increasingly critical to real life and become the prime objective of spammers. Twitter spam detection refers to a complex task for the involvement of a range of characteristics, and spam and non-spam have caused unbalanced data distribution in Twitter. To solve the mentioned problems, Twitter spam characteristics are analyzed as the user attribute, content, activity and relationship in this study, and a novel spam detection algorithm is designed based on regularized extreme learning machine, called the Improved Incremental Fuzzy-kernel-regularized Extreme Learning Machine (I2FELM), which is used to detect the Twitter spam accurately.

Disclaimer

I hereby declare that all the information mentioned above is true to the best of my knowledge and belief.

Timeline

SAP Sucessfactor

Tech Mahindra
03.2022 - Current

BTECH -

Sri Sai Institute of Science& Technology

Class XII -

Raju Jr. College, Rayachoti

Class X -

The P.T.A School, Bangalore

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