Summary
Overview
Work History
Education
Accomplishments
Certification
Additional Information
Timeline

Ajith Pious

Preston,Lancashire

Summary

Systems Engineer with three years of experience in IT industry. Have proficient knowledge about Machine Learning Concepts, data management concepts and cloud technology. Talented in programming languages such as Java, Python, JavaScript and SQL. Hardworking, self-starter, who has a keen interest to learn new technology.

Overview

3
3
years of professional experience
5
5
years of post-secondary education
4
4
Certifications

Work History

Systems Engineer

Infosys Ltd
, India
09.2018 - 09.2021
  • Designed and Developed Restful API’s for different module in the project as per the requirement
  • Developed application using Spring Boot and handled the security using Spring Security
  • Configured and deployed the application using Tomcat
  • Compile, Build and Test Java Applications using Maven
  • Test Automation using Selenium
  • Technology Stack:
  • Java, Spring Boot, Spring MVC, Jenkins, Maven, Selenium

Education

Master of Science - Applied Data Science

University of Central Lancashire, Preston, United Kingdom
09.2021 - 09.2022
  • Courses: Artificial Intelligence and Machine Learning, Visual Information Processing, Big Data and Visualization,
    Internet of Things.
  • Percentage: 73% (Distinction)

Bachelor of Technology - Electronics and Communication

Mahatma Gandhi University
08.2014 - 08.2018

Courses: Embedded systems, Solid State Devices, Electro Magnetic Theory, Network Theory, C

CGPA: 7.4/10(Cumulative Grade Point Average)

Accomplishments

  • MLView: A web application for automating the machine learning process
  • Developed a web application in Django framework for automating the machine learning process
  • The project is deployed in heroku cloud service
  • Technology Stack:
  • Python, Django, PostgreSQL, Sklearn,NumPy, Pandas
  • Project URL: https://github.com/ajithpious/MLView
  • Web URL : https://mlviewapp.herokuapp.com/
  • A Web Application for Heart Disease prediction using BRFSS Dataset
  • Predicted the Heart disease with BRFSS Dataset in Jupiter Notebook using Python3 as part of my course work
  • Data pre-processing, Data exploration including PCA analysis and multiple classification models were tested
  • The Model was deployed in heroku cloud service
  • Technology Stack:
  • Python3, Django, Jupyter notebook, Numpy, Pandas, Mathplotlib, Seaborn and Sklearn
  • Project URL: https://github.com/ajithpious/Colab-Notebooks/blob/main/Project_BRFSS.ipynb
  • Human Activity Recognition from Smart Phone sensors
  • This Project aims at recognizing the Human activity from the Smartphone sensor readings
  • Data cleaning, Data Preprocessing and Feature selection methods (ANOVA) were employed and multiple models were tested with hyper parameter Optimization
  • Technology Stack:
  • Python3, Jupyter notebook, Numpy, Pandas, Mathplotlib, Seaborn and Sklearn
  • Project URL: https://github.com/ajithpious/Colab-Notebooks/blob/main/AI_final.ipynb
  • Left Ventricle Segmentation and Volume Estimation Using Transfer Learning
  • This Project aims at segmenting the Left Ventricle from the MRI Scans using deep learning Networks (U-Net, V-Net) and Transfer Learning developed in Tensorflow and Keras The Ventricle volumes are calculated using a regression model
  • Data cleaning, Data preprocessing, Augmentation techniques and hyper parameter optimization techniques were employed in building the final model
  • Technology Stack
  • Python3, Tensorflow, Keras, TesnorBoard(For Visualization)
  • Project URL: https://github.com/ajithpious/Msc_pro.git

Certification

What is Data Science? by IBM on Coursera.

Additional Information

  • The information in this handout is correct as of September 2022.

Timeline

University of Central Lancashire - Master of Science, Applied Data Science
09.2021 - 09.2022
Systems Engineer - Infosys Ltd
09.2018 - 09.2021
Mahatma Gandhi University - Bachelor of Technology, Electronics and Communication
08.2014 - 08.2018

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