Skills
Software
Summary
Education
Overview
Languages
Work History
Projects
Marakathavalle Muthu Chidambaram

Marakathavalle Muthu Chidambaram

Trichy,Tamilnadu

Skills

Dependable and Responsible

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Software

Deep learning

NLP

Machine learning

Python

Pycharm frameworks

Data analysis

Java

Summary

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Artificial Intelligence engineer position. Ready to help team achieve company goals.

Education

Master of Science - Artificial Intelligence

Asia Pacific University, Kuala Lumpur, Malaysia
2021 - 2022

Bachelor of Technology - Information Technology

Anna University, Tamil Nadu, India
2014 - 2018

Overview

6
6
years of post-secondary education
2
2
years of professional experience

Languages

English
Advanced (C1)
Tamil
Advanced (C1)

Work History

Software Engineer

Infosys Ltd.
Chennai, Tamil Nadu
2018.07 - 2019.11
  • Worked well in a team setting, providing support and guidance.
  • Worked for Adidas client from USA on Xstore POS. Supported and automated Oracle Database.
  • Worked on data monitoring carried out daily to fix issues that has not reached SAP.
  • Also, worked on creating and modifying functions for new button for POS using Java programming.

Trainee Software Developer(Internship)

Infosys Ltd.
Mysore, Karnataka
2018.01 - 2018.05
  • Contributed to the successful completion of projects through effective time management and prioritization skills.
  • Developed user-friendly interfaces for seamless end-user interactions.
  • Built a web application using Angular JS to prioritize tickets based on the request and send a notification to assigned person.
  • Rigorous training in python and database. Attended training on advanced java and was tested

Projects

► Project Title: Ecommerce customer facial expression recognition using deep learning during virtual-try on.
► Project Description: Customer facial expression is captured using deep learning models. Three models including CNN is trained and tested and best model is used for facial expression identification during virtual try on of sun glass.

► Project Title: Breast cancer classification using deep learning and hispatology image.
► Project Description: Deep learning and transfer learning models are tuned to optimize accuracy for the classification of the cancer image using google colab.
► Project Title: E-commerce customer's behavior detection using machine learning.
► Project Description: Classification of customer whether they will make purchase or not using supervised model in open platform tool Rand python.
► Project Title: Number Plate Detection using computer vision.
► Project Description: Number plate detection of car image using Matlab in Python language.
► Project Title: Robot stimulation
► Project Description: Turtle bot robot mapping and automatic navigation using ROS.
► Project Title: Automatic spelling check
► Project Description: Automatically detect spelling error that are not found in dictionary using Natural Language Processing {NLP) created in Pycharm with user interface.

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Marakathavalle Muthu Chidambaram