Hey! I am

Ranjit Kathiriya

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About

About Me

Open to opportunities as Machine Learning, Computer Vision, Artificial Intelligence, Data Scientist, Android Developer.

  • Name: Ranjit Kathiriya
  • Date of birth: April 17, 1995
  • Address: Dublin, IE
  • Zip code: D04NN70
  • Email: ranjitkathiriya@gmail.com
  • Phone: +353-894748769

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Education

2019-2020

Master of Science in Artificial Intelligence

Cork Institute of Technology

* Deep Learning * Machine Learning * Machine Vision * Big Data Processing * Natural Language Processing * Decision Analytics * Metaheuristic Optimization * Knowledge Representation * AI Research Project * Research Practice & Ethics

2015-2018

Bachelor of Engineering in Computer Engineering

G H Patel College of Engineering & Technology

* Iot And Applications * Mobile Computing and Wireless Communication * Data Mining and Business Intelligence * Artificial Intelligence * Advanced Java * Web Technology * .Net Technology * Compiler Design * Information and Network Security* Data Structure * Database Management Systems * Operating System * Object Oriented Programming With C++ * Numerical and Statistical Methods for Computer Engineering * Computer Organization * Computer Networks * Cyber Security * Analysis and Design of Algorithms * Object Oriented Programming using JAVA * System Programming * Software Engineering * Theory of Computation

2012-2015

Diploma in Computer Engineering

Shri Tapi Brahmcharyashram sabha college of Diploma Engg,Surat. 647

* COMPUTER PROGRAMMING * ADVANCED COMPUTER PROGRAMMING * STATIC WEB PAGE DESIGNING * OPERATING SYSTEM * PROGRAMMING IN C++ * DATABASE MANAGEMENT SYSTEM * DATA STRUCTURE * COMPUTER NETWORKS * ADVANCED DATABASE MANAGEMENT SYSTEM * .NET PROGRAMMING * WEB DEVELOPMENT TOOLS * JAVA PROGRAMMING * DYNAMIC WEB PAGE DEVELOPMENT * COMPUTER AND NETWORK SECURITY * ADVANCE JAVA PROGRAMMING * PROFESSIONAL PRACTICES USING DATABASE * NETWORKING MANAGEMENT & ADMINISTRATION * MOBILE COMPUTING AND APPLICATION DEVELOPMENT

2011-2012

Secondary School

P.P. Savani Cambridge International School

I have completed my secondary schooling.

Experience

2018-2019

Data Scientist and Computer Vision Engineering

Dream World InfoSoft

* Platform & Skills: Data Scientist, Computer Vision, Sklearn, Tensorflow, Android SDK, OpenCV
* Language: Python, Java
* Tools: Jupyter Notebook, Spyder, Pycharm, Android Studio
* Web Services: JSON, yfinance (Yahoo Finance)
* Database: MYSQL
* Responsibilities:

• Designed and developed a face detection system that mark check-in and check-out times for employees which significantly improved efficiency by eliminating the need for creating and maintaining manual records.
• Provided comprehensive insight from the data using visualization tools that lead to understanding features more appropriately in advance of applying modelling techniques.
• Built predictive models for an ad targeting platform, achieving an accuracy of 94% which significantly improved the performance of advertisement campaigns and imcreased return on investment (ROI).
• Designed time series models using different ensemble methods for predicting future stock prices based on previous stock performance with the help of finance (Yahoo) API.
• Participated in many cross-language projects by mentoring or knowledge-sharing in areas such as database design, android application development, selecting project lifecycle and risk analysis.

2015-2018

Mobile Application Developer

Freelance, self-employed, Part-time

* Platform & Skills: Postman, Android SDK, PHP core, Web Scraping
* Language: Java
* Tools: Android Studio
* Web Services: JSON, Facebook and Google Login Integration, Google Maps, File Server
* Modules: Bluetooth, TCP/IP
* Database: MYSQL, SQLite
* Detail:

• Built applications across multiple verticals such as e-commerce, finance, and home automation to business goals for clients.
• Utilized web scraping techniques for extracting real-time data and shaping it into an application without any database.
• Employed version control strategies during development, delivery, and maintenance of mobile applications across multiple devices which enhanced collaboration and quality control.
• Applied Google's material design and color scheme during development which resulted in faster interaction with the application.
• Created a home-automation solution, utilizing both WI-FI and Bluetooth module systems to automate switching on/off for electric appliances without any manual efforts.
Applications Link

2014-2015

Project Trainee in Android, Internship

Raksh Infotech

* Platform & Skills: Android SDK, PHP core, Windows Android SDK, javascript, XML
* Tools: Eclipse, Adobe Dreamweaver
* Web Services: JSON, Google GCM, Google Maps
* Web Server: Apache Tomcat, apache 2.0 for PHP
* Database: MYSQL, Sqlite
* Responsibilities:

• Built a GPS enabled application that sends alerts immediately to blood donors when needed. This app also provides facilities for blood donation camps with GPS integration.
• Designed a hybrid database that works with both websites and apps instead of maintaining two different databases.
• Utilized Graphical User Interface (GUI) principles to promote user-friendly environment and improved application performance.
• Used Base64(Image to Text) algorithm for storing text (Image text) directly to a database instead of storing it into folders, and it eliminated extra buying of storage space.
• Collaborated with other teams to ensure that requirements are understood before development and to avoid potential throughout the development lifecycle.

Skills

Data Science, Statistics

85%
28%
Last week
60%
Last month

Artificial Intelligence

80%
28%
Last week
60%
Last month

Android Development

85%
28%
Last week
60%
Last month

Python

85%

Java

83%

HTML5

95%

CSS3

80%

Computer Vision

87%

Flask

60%

Licenses & Certifications

SEP 2020

Python (Basic)

Hackerrank

Link

OCT 2020

Python and Flask Bootcamp: Create Websites using Flask!

Udemy

Link

AUG 2020

How to Win a Data Science Competition: Learn from Top Kagglers (with Honors)

Coursera

Link

JUL 2020

AWS Computer Vision: Getting Started with GluonCV

Coursera

Link

JUN 2020

Facial Expression Recognition with Keras

Coursera

Link

JUN 2020

Using Python to Access Web Data

Coursera

Link

MAR 2020

Python for Computer Vision with OpenCV and Deep Learning

Udemy

Link

JAN 2020

Digital Twin : A Comprehensive Overview

Udemy

Link

Services

Services

Projects

My Projects

Counting People - Yolo

AWS MXNet GluonCV

Facial Expression Detection

Tensorflow, Keras, OpenCV

Augmented Random Search

Reinforcement Learning

Chatbot

DeepLearning, Natural Language Processing, Data Cleaning, Machine Learning.

Mobile Shopping Application

Android Software Development

Home Automation

Android Development, Arduino
0 Public Rep.
0 Complete Projects
0 Client
0 Cups of coffee

Contact

Contact Me

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia

Address

Sydenham Road, Ballsbridge, Dublin 4 D04NN70

Contact Number

+ 353 894748769

LinkedIn

LinkedIn Profile