Who am I??? β‘
My name is Joojo Dontoh (if you're reading this you probably know that already). I have always had an insatiable appetite for anything in connection to computers. Throughout my childhood I would always tinker with any device in my possession to have an Idea as to how it works. This appetite led me through high school (Mfantsipim School) and then to Multimedia university in Malaysia where I had my bachelors degree in computer science with a specialisation in business information systems. Throughout my time in school I spent countless hours building software based on requirements I would put together myself. I improved my skills with technologies such as java spring boot, python (windows applications) and numerous javascript application which I hosted on heroku because there was a vast amount of resources at my disposal.
Discovering the components of software, server management and devops as I work in this industry continues to fascinate me while increasing my passion for software development exponentially. The world would never be short of problems to solve or applications to build which makes me very happy. Hope to share my passion with you soon.
My Resume πΌ
Discovering the components of software and server management as I work in this industry continues to fascinate me while increasing my passion for software development exponentially. The world would never be short of problems to solve or applications to build which makes me very happy. I hope to share my passion with you soon.
Multimedia University, CYBERJAYA MALAYSIA
Developed a machine learning model written in python (3.7). It uses KNN nearest neighbor for classification to predict the survivability range of bone cancer patients.
Thesis: OPTIMIZED MACHINE LEARNING MODEL FOR OSTEOSARCOMA
This research paper intends to provide a detailed analysis and comparison between 4 classification methods in the form of Logistic regression, Support vector machine, K-Nearest Neighbors and Decision Trees, along with implementation of all these classification methods in KNIME.
Research topics
Multimedia University, CYBERJAYA MALAYSIA
Project Micro job finder Application.
Multimedia University, CYBERJAYA MALAYSIA
NIIT Ghana
AWS
AWS
iCycle Malaysia Sdn. Bhd., CYBERJAYA
Worked in partnership with fellow brilliant developers to produce a Versatile Waste Management System specialized in configurable resource planning in waste analytics. This system served a total of 20,000 users and 4,000 monthly active users
I was mainly tasked with building from scratch
I am the Tech lead for
I am the lead backend Engineer for the
MUKER GLOBAL SDN. BHD., CYBERJAYA
I held the position of a frontend engineer tasked to create an interactive bridge for users on an e-commerce website. Main tools are CSS bootstrap and HTML5
Some of my git repos π₯
Osteosarcoma KNN machine learning (supervised machine learning model using python)
Machine learning model that can translate Ghanaian insults. Tools used are teachablemachine (to train the model), ML5 and P5
This is a server-side for a small webchat application application
Some of my design work π
Contact Me π±
Cyberjaya, Malaysia
joojodontoh@gmail.com