The below are some of my works. Except otherwise stated, all front-end and back-end for every project stated here were completely done by me.

Currently open to new opportuinities, for new and existing projects.I seek a position that will leverage my skills and enthusiasm to proffer state-of-the-art solutions to challenges. Do you think I am a perfect fit for your current opening ?Please contact me, and I will respond within 24hrs.

Climate change sentiment analysis

For this project, I lead a Team of Data Scientist, and we were tasked to build a Machine Learning model that is able to classify whether or not a person believes in climate change, based on their novel tweet data. Providing an accurate and robust solution to this task gives companies access to a broad base of consumer sentiment, spanning multiple demographic and geographic categories - thus increasing their insights and informing future marketing strategies.

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Technologies

Python

Streamlit

Comitml

AWS

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EDSA Classification Hackathon

In this challenge, I was required to take text which is in any of South Africa 11 Official languages and identify which language the text is in. This is an example of NLP Language Identification, the task of determining the natural language that a piece of text is written in.

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Technologies

Python

NLTK

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Spain Electricity Shortfall Challenge

In this project, worked with a Team of Data Scientist, and we were tasked to model the shortfall between the energy generated by means of fossil fuels and various renewable sources - for the country of Spain. The daily shortfall, which was referred to as the target variable, was modelled as a function of various city-specific weather features such as pressure, wind speed, humidity, etc. we were also required to perform feature engineering to ensure we accurately modeled Spain's three hourly shortfalls.

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Technologies

Python

Flask

AWS

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Bhenjane Trading Database Normalization

For this project, I received a denormalised database consisting of two tables. My task was to transform the database such that is in third normal form (3NF). To ensure that a consistent normalisation process is followed, I was also provided with the client's (Bhenjane Trading) use-cases for the database.

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Technologies

SQL

Postgresql

Mysql

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Izigo

Izigo is a platform aggregating delivery logistic companies and providing a pool of infrastructures for businesses and customers to send and receive parcels with ease. Aggregating logistics service providers in a single marketplace like ours will enhance our capacity to provide fast and same day delivery services.

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Technologies

React

Nodejs

AWS

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Bar-X

Bar-X is a premier management platform for Bars. Using Bar X, Bar owners or managers are able to engage their customers, process bookings and payments , improve business operation and ultimately sales through our “Bar Discovery” functionalities. Fully integrated with an inventory management and employee management systems, Bar X is a one stop solution for bar owners to efficiently operate their business and improve customer experience. Bar-X is also a booking and payment platform that connects consumers with great bars (pubs) nationwide. Bar X makes it easy to discover and book the best bars wherever you are , in just a few steps.

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Technologies

React

Redux

D3js

Firebase

Nodejs

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Emergency Response Africa

Emergency Response Africa (ERA) is a healthcare technology company that is changing how medical emergencies are managed in Africa, beginning in Nigeria. During my time at ERA, I worked as a front-end developer, and was responsible for revamping and maintaining the hospital app. The hospital app is open to hospital signed up to ERA, which can receive and attend to emergency cases. The hospital app made use of AWS services like:Congnito: security service.Lambda: compute serviceAmplify: backend services.

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Technologies

React

Redux

AWS Cognito

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DevPlacement Assessment

DevPlacement assessment is a web app I built during an interview process with Emergency Response Africa, for a front-end position. The app consumes randomuser.me API to fetch random users and display all vital details, and further use the gender endpoint to choose either the male or female gender. The user of the app can also go further in filtering users/user details to be displayed. For instance, you can choose if to display user phone number, and user countries. You can also further filter users by country of choice.

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Technologies

React

Redux

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Most Popular Github Repositories

Most popular github repositories, are repositories with the highest number of star ratings. It fetches these data through graphql API. It also uses TialwindCSS as the plugin for styling.

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Technologies

HTML

TailwindCSS

Graphql

Nodejs

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