CV

Kingsley Biney

bineykingsley36@gmail.com

London, United Kingdom

Links:

Tools

  • Git
  • Vuejs
  • Javascript
  • Reactjs
  • Python

Interests

Deep Learning
Web Development
Microservices

Languages

  • English (International/Academic)
  • Twi (Native)

Education

University of Ghana, Accra, Ghana.

Bachelor of Science, Computer Engineering

September 2014 - 2018


St. Martin's Senior High School, Adoagyiri-Nsawam, Ghana.

West African Senior Secondary Certificate, General Science

July. 2011 - Dec. 2014


Work Experience

Engineering Analyst, Goldman Sachs
2020-Present

  • Developing Corporate Cash Management web application using Reactjs

Teaching Assistant, University of Ghana
2018-Present

  • Assisted in the Lab sections of Operating Systems, Numerical Methods and Artificial Intelligence, Data Structures and Algorithm, and Java courses
  • Helped in the grading of Assignments and Quizes

Software Engineer, MyPasel
2019-Present

  • Developed the web client of the Peer-to-Peer parcel delivery system.

Intern, Finance Application Systems Limited.
Summer 2016

  • Developed front end for a web application to track Annual Maintenance Cost.
  • Managed the Business Software of National Trust Holding Company

Projects

Autonomous Road Traffic Control and Accident Detection | Undergraduate Final Year Project | 2017 - 2018
Academic Project

  • Applied Tensorflow Object Detection API and Other Computer Vision Techniques to Detect Vehicles (trucks, cars, motorcycles, etc.) as well pedestrians and road accident occurrence in order to help control Road Traffic and reduce casualties. Click here to view the Thesis Paper on the Research.

Medium Article Publication on NLP | December | 2018
Personal Project

  • Developed a Sentiment Analysis Deep Learning model in Keras using 1D Convolutional Neural Networks based on the IMDB movie review dataset. An article on this project was later published on my Medium page. Click on this link to view the article.

News Headlines Classification | Python | Summer 2017
Personal Project

  • Developed a program to classify news headlines into categories such as Political, Religious, Sports, etc

Celebrity Face Recognition Web Application | Python | Winter 2018
Personal Project

  • A web application to detect the faces of certain celebrities by using Deep Face Recognition
  • Implemented using Google's FaceNet techniques.

Screen Shot of Face Recognition Web Application

Face Recognition Sample 1

Wholesaler-Retailer Pairing Web Application | Python | Spring 2018
Personal Project

  • Web Application to enable people interested retailers interesting in selling products link up with wholesalers and do business.

Titanic: Machine Learning from Disaster | Python | Fall 2017
Kaggle project

  • Wrote a Python script to predict survival on the Titanic using Machine Learning.
  • This problem was solved using Decision Trees

House Price Prediction: Advanced Regression Techniques | Python | Fall 2017
Kaggle Project

  • Predict sales prices and practice feature engineering, RFs, and gradient boosting
  • This problem was approached using Machine Learning techniques like Extreme Gradient Boosting as well as Ensemble techniques like Random Forest to develop a better model for this problem
Visit Github Repository Kaggle Projects View CV

Relevant Coursework and Activities

Graduate

September 2018 - August 2019 National Service

Undergraduate

Machine Learning Computer Vision
Computer Networking Data Structures and Algorithms
Object Oriented Programming Numerical Methods
Database Management System Discrete Mathematics