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Conrad S - Computer vision developerLD Talent logo

Conrad S

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Software Engineer Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.3
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 5h PST, 40h UTC
Interview Scores (3.3/5)
  • Software Engineering Process 3.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 5.0/5
  • Logical Thinking 4.0/5
  • Technical Strength 3.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 3.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 4.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Mac
  • Phone iPhone
General
  • Member Since Mar 24, 2021
  • Profile Last Updated Sep 05, 2021
  • Last Activity Oct. 10, 2022, 11:39 a.m. UTC
  • Location Uganda
Profile Summary
I am a software engineer proficient in Laravel, Django and Flask, full-stack. I am also passionate about data science and machine learning.
Skills
Total Experience: 8 years
  • Computer vision (8Y)

    8 years of experience
  • Python (6E, 8Y)

    6 experiences, across 8 years
  • R for Statistics (8Y)

    8 years of experience
  • JavaScript (2E, 7Y)

    2 experiences, across 7 years
  • HTML (2E, 7Y)

    2 experiences, across 7 years
  • Laravel (7Y)

    7 years of experience
  • MySQL (7Y)

    7 years of experience
  • Web scrapers (6Y)

    6 years of experience
  • Jupyter (5Y)

    5 years of experience
  • Numpy (5Y)

    5 years of experience
  • Matplotlib (5Y)

    5 years of experience
  • Pandas (5Y)

    5 years of experience
  • scikit-learn (5Y)

    5 years of experience
  • REST (5Y)

    5 years of experience
  • Bootstrap (5Y)

    5 years of experience
  • CSS (5Y)

    5 years of experience
  • Django (5Y)

    5 years of experience
  • Swift (5Y)

    5 years of experience
  • Postgres (5Y)

    5 years of experience
  • Postman (5Y)

    5 years of experience
  • Flask (5Y)

    5 years of experience
  • Java (1C)

    1 course
  • Site Reliability (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 5h PST, 40h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
06 - 14
06 - 14
06 - 14
06 - 14
06 - 14
PST
23 - 07
23 - 07
23 - 07
23 - 07
23 - 07
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • Documentation
Experience
Full Stack Developer
Employment
Aug 2018 - Present
Cabral technologies Company
Food and Agriculture Industry
Project: Livestock manager
  • JavaScript
  • MySQL
  • HTML
  • Python
  • Laravel
  • Laravel was the full stack framework used in the overall development of the project. Other skills were used in support of specific features of the project for example selenium for scraping.
  • I used HTML, CSS and JavaScript for frontend development
  • I used HighCharts.js for the dashboard visualisations
  • Python and Python Selenium were used for scraping
  • I used MySQL for the project database, I also used XML when integrating a payment API into the manager.
Developer
Course Project
Aug 2017 - Present
WIMEA, Makerere University Company
Technology Industry
Project: Weather station security system
  • Computer vision
  • Python
  • I used Python and OpenCV for Computer vision. The project was hosted on a raspberry Pi. The project was meant to alert in case of intruders through object recognition and tracking.
  • I added an emailing feature to send periodic email every time a human figure object was detected in the vicinity.
Github Links
  • https://github.com/conradsuuna/Weather-station-security
Developer
Course Project
Dec 2017 - Present
Makerere University Company
Research Industry
Project: Sentimental Compass
  • R for Statistics
  • Analysed NSSF data for different customer sentiment and customer base across the globe.
  • R for Statistics and R studio were used in the implementation of this project
  • I used Shiny for developing the project dashboard
Github Links
  • https://github.com/conradsuuna/Sentimental-Compass/
Developer
Contract
Apr 2020 - Present
Freelance Company
Healthcare Industry
Project: SheltIN
  • REST
  • Postman
  • Postgres
  • Python
  • Swift
  • Flask
  • Developed a web and mobile app for managing and detecting covid patients within a 6 metre radius and alerting the app user.
  • Python and Flask were used to develope the CMS for the project and also developing the REST API for the Swift application.
  • I used Postman for testing the API endpoints
  • I used Postgres for handling the project database
Software Developer
Contract
Apr 2020 - Present
Lusuku Company
Ecommerce Industry
  • Bootstrap
  • JavaScript
  • CSS
  • Django
  • HTML
  • Python
  • Developed an ecommerce called Lusuku for agricultural produces.
  • The entire site was built using Django
  • Python was used for developing the backend of the site
  • HTML, Javascript, CSS and Bootstrap were used for developing the frontend of the site
Website Links
  • https://lusuku.ug/
Developer
Passion Project
Mar 2020 - Present
Makerere Company
Technology Industry
Project: Titanic
  • Numpy
  • Matplotlib
  • Pandas
  • scikit-learn
  • Python
  • Jupyter
  • I analysed and created a prediction algorithm for the survival rate of people on the titanic, using Jupyter as the development environment.
  • I used Python, Seaborn and Matplotlib for the data visualisations
  • I used Pandas and Numpy for exploratory data analysis, cleaning and processing and manipulation of the data
  • I used scikit-learn for implementing the machine learning bit of the project.
Github Links
  • https://github.com/conradsuuna/Titanic
Developer
Employment
Sep 2019 - Present
Cabral Tech Company
Food and Agriculture Industry
Project: Dynamic Spider
  • Python
  • Web scrapers
  • I was trying to build a dynamic crawler (Not a focused crawler as most are). The project aim was to mine different data about diseases and pests that attack agricultural produce.
  • I used Python, Web scrapers, beautifulsoup and Scrapy for implementation of the project.
  • I also used XPath for mining paths and navigation through HTML elements of different sites.
Github Links
  • https://github.com/conradsuuna/dynamic-spider
Qualifications
Education
Makerere University
Aug 2014 - Jan 2019
B.Sc (Software Engineering)
Courses
Advanced Object Oriented Programming
Aug 2018 - Dec 2018
Makerere University
  • Java
Software reliability and testing
Feb 2018 - Jun 2018
Makerere University
  • Site Reliability
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