Green leaf

Conrad S - Python developer
Member since:Mar 24, 2021
Profile last updated:Sep 05, 2021
Last activity:Nov. 15, 2021, 6:39 a.m. UTC

Conrad S

I am a software engineer proficient in Laravel, Django and Flask, full-stack. I am also passionate about data science and machine learning.

Skills:   Python  ·  Computer vision  ·  R for Statistics  ·  JavaScript  ·  HTML  ·  Laravel  ·  MySQL  ·  Web scrapers  ·  Jupyter  ·  Numpy  ·  Matplotlib  ·  Pandas  ·  scikit-learn  ·  Flask  ·  Swift  ·  REST  ·  Bootstrap  ·  CSS  ·  Django  ·  Postgres  ·  Postman  · 
Weekly Availability: 40 hours
Mon 06 - 14 22 - 06
Tues 06 - 14 22 - 06
Wed 06 - 14 22 - 06
Thurs 06 - 14 22 - 06
Fri 06 - 14 22 - 06

Invite for Interview
Hourly Rate: $15.00
Experience: 4+ yrs
Python: 4+ yrs
Computer vision: 4+ yrs
R for Statistics: 4 yrs
JavaScript: 3+ yrs
HTML: 3+ yrs
Laravel: 3+ yrs
MySQL: 3+ yrs
Engineer's Devices:

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:


Cabral technologies     Livestock manager     Full Stack Developer     Employment
Aug 2018 - Present
Food and Agriculture

  • 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.

Skills used: JavaScript, MySQL, HTML, Python, Laravel

WIMEA, Makerere University     Weather station security system     Developer     Course Project
Aug 2017 - Present

  • 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.

Skills used: Computer vision, Python

Link to the github:
Makerere University     Sentimental Compass     Developer     Course Project
Dec 2017 - Present

  • 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

Skills used: R for Statistics

Link to the github:
Freelance     SheltIN     Developer     Contract
Apr 2020 - Present

  • 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

Skills used: REST, Postman, Postgres, Python, Swift, Flask

Lusuku     Software Developer     Contract
Apr 2020 - Present

  • 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

Skills used: Bootstrap, JavaScript, CSS, Django, HTML, Python

Link to the project:
Makerere     Titanic     Developer     Passion Project
Mar 2020 - Present

  • 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.

Skills used: Numpy, Matplotlib, Pandas, scikit-learn, Python, Jupyter

Link to the github:
Cabral Tech     Dynamic Spider     Developer     Employment
Sep 2019 - Present
Food and Agriculture

  • 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.

Skills used: Python, Web scrapers

Link to the github:


Makerere University    B.Sc  (Software Engineering)
Aug 2014 - Jan 2019


Advanced Object Oriented Programming    Makerere University
Aug 2018 - Dec 2018
Skills learnt: Java
Software reliability and testing    Makerere University
Feb 2018 - Jun 2018
Skills learnt: Site Reliability