Summary
Education
Skills
Accomplishments
Interests
Work History
Hi, I’m

MANOJ MEDISETTY

Nizampet, Hyderabad,TELANGANA
MANOJ MEDISETTY

Summary

Recent graduate with a Bachelor of Technology in Computer Science and Engineering seeking an entry-level position to kick-start a successful career in IT. Proficient In leveraging academic knowledge and practical skills acquired through course. Curious to learn, grow, and make a positive impact within a supportive team environment. Possesses strong communication, troubleshooting, and teamwork abilities.

Education

Ellenki Institute of Engineering and Technology

Bachelor of Technology B. Tech from Computer Science
July 2023

University Overview

GPA: 6.85

Narayana Junior College

Intermediate from Mathematics, Physics and Chemistry
May 2019

University Overview

GPA: 7.1

Bhashyam High School

SSC

University Overview

GPA: 7.3

Skills

  • AWS Solutions Architect
  • Amazon Cloud Computing
  • Amazon EC2 (Elastic Compute
  • Cloud)
  • AWS Lambda
  • Amazon RDS (Relational Database
  • Service)
  • Amazon S3 (Simple Storage Service)
  • Amazon ECS (Elastic Container
  • Amazon DynamoDB
  • Amazon EC2 Auto Scaling
  • Amazon SQS (Simple Queue
  • Amazon VPC (Virtual Private Cloud)
  • Amazon EBS (Elastic Block Store)
  • Amazon CloudFront
  • Amazon EC2 Spot Instances
  • Amazon EFS (Elastic File System)
  • Amazon Route 53
  • AWS Direct Connect
  • Amazon SNS (Simple Notification
  • Programming Language: Python
  • Database Management: SQL
  • Operating Systems: Windows, Linux

Accomplishments

  • IDENTIFY CHILD ATTENTION THROUGH FACIAL RECOGNITION
  • BY USING SVM ALGORITHM Facial recognition technology can be leveraged to analyse child attention levels, which is crucial in various contexts such as education and healthcare
  • Support Vector Machine (SVM) algorithm offers a robust approach for classifying attention levels based on extracted facial features
  • Facial recognition technology, coupled with SVM algorithm, holds promise for identifying child attention levels, offering opportunities for enhancing educational and healthcare interventions
  • MAJOR PROJECT:
  • SOCIAL SPAMMER DETECTION VIA CONVEX NON- NEGATIVE
  • MATRIX FACORIZATION Social spammer detection is vital for maintaining the integrity of online communities, and Convex Non-Negative Matrix
  • Factorization (CNMF) offers a promising approach in this regard
  • CNMF is introduced as a machine learning algorithm capable of decomposing social interaction matrices to identify hidden patterns indicative of spammer behaviours
  • CNMF shows promise in effectively detecting social spammers, emphasizing the importance of continued research to combat spam and maintain online community integrity
  • ACCOMPLISHMENT
  • Successfully completed the course on AWS Solutions Architect.

Interests

TRAVELLING, PHOTO GRAPHY, COOKING

Work History

AWS CLOUD SERVICES
HYDERABAD, TELANGANA

FRESHER

Job overview

  • Self-motivated, with a strong sense of personal responsibility.
  • Proven ability to learn quickly and adapt to new situations.
  • Excellent communication skills, both verbal and written.

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MANOJ MEDISETTY