Python

Johnson A

+91-994******* LinkedIn : linkedin.com/in/johnson~a/ adiufm@r.postjobfree.com

EDUCATION

Current B.E Production Engineering Coimbatore, India PSG College of Technology

CGPA: 8.2/10.00 (Till 5th semester)

April 2017 St. Mary’s Higher Secondary School Thanjavur, India Percentage: 96.41%

April 2015 St. Mary’s Higher Secondary School Thanjavur, India Percentage: 98.8%

SKILLS

Programming Languages

C, C++, Python

Micro Controllers Arduino, Raspberry Pi

Tools Arduino IDE, Google Colaboratory, Jupyter Notebook OS Platforms Windows, Linux, Raspbian OS

AREAS OF INTEREST

● Computer Vision

● Industrial Robotics and Automation

RESEARCH PROJECTS

Design and demonstration of Advanced Firefighter Helmet Current Project Guide - Dr. Gandhinathan (Sr.Gr.), PSG College of Technology Description - Infrared Vision combined with AR technology can be used to provide visibility and Navigation Assistance for Firefighters in dark and smoky conditions. Development of Computer-Aided Process Planning (Semi Generative) for Cylindrical Components August 2019

Guide - Dr. Gandhinathan (Sr.Gr.), PSG College of Technology Tools Used -Google Colaboratory

Description - Converted the physical features of the component into a python list

(component code - which acts as input for the program).

- Developed a GUI for entering the component code and displaying the generated data. Github Link - https://github.com/johnson-52197/Semi-Generative-CAPP Barcode Based Student Attendance System using Python February 2019 Guide -Mr. M. Madhu, Assistant Professor (Sr.Gr.), PSG College of Technology Tools Used - Google Colaboratory, Google Sheets, Raspberry Pi 3, Camera Module Description -Processed the images of the student’s ID Card using Py-Zbar Library.

- Attendance entry is fool proofed by deploying a cross-referencing algorithm.

- Entered the data into a spreadsheet using Google Sheets API. MINI PROJECTS

Estimation of Surface Roughness Using Artificial Neural Network (ANN) through Computer Vision System September 2019

- Collected the data set (images of 1500 surface profiles) with Microscope

- Trained the Inception model V2 for the prepared dataset

- The model predicted 2 out of 3 classes correctly with 95% accuracy ONLINE COURSES

Coursera Python Data Structures May 2020

Python to access web data May 2020

Udemy Machine Learning A-Z: Hands-on with Python May 2020 INTERNSHIPS

Data Analytics Consulting Virtual Internship - KPMG May 2020 - June 2020

Prepared the data for analysis

Performed RFM Analysis on the customer dataset

Created a Visualization Dashboard for the virtual client ACADEMIC ACHIEVEMENTS

● Awarded with Academic Proficiency for the First Semester during the academic year 2017-2018.

● Best Outgoing Student of St. Mary’s Higher Secondary School, Thanjavur for the year 2017. This was awarded for excellence in academics and co-curricular activities OTHER FOOT PRINTS

● ABU Robocon 2020 August 2019

- Control Team Captain

● ABU Robocon 2019 August 2018 - June 2019

- Control Team Vice Captain

- All India Rank - 16

ATTRIBUTES

● Self Learning and curious

Declaration

I Johnson A, hereby confirm that the above-given information is true and correct to the best of my knowledge.

Place: Thanjavur

Date : 25/09/2020

Johnson A

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