Emmanuel Sibanda

Full stack developer with an entrepreneurial flair and a strong interest in Data Science.

Location: Tulsa | New York

Languages

Fluent in: Python, JavaScript, SQL, R, HTML & CSS

Education

  • LLB(Law) - South Africa (UKZN)
  • Data Science Career Track (Springboard)

Prior Experience

  • Founder: 2020 - 2022 (The Gradient Boost, USA) | EdTech
  • Data Analyst: 2019 (Yoco, South Africa) | Fintech
  • Freelance Analyst: 2018 (Uprise.Africa, South Africa) | Crowdfunding/Venture Capital
  • Intern Analyst: 2018 (Google, South Africa) | AdTech
  • Intern Research Analyst: 2017 (4Di Capital, South Africa) | Venture Capital

Kaggle: Using Linear Regression to predict player spring speed in FIFA 19

Using Linear Regression to predict the sprint speed of players in FIFA 19.

Visualizing South African Marriage data using Python

A writeup on how I got data from StatsSA and built visualizations to understand marriage trends by month and year. This was published in Towards Data Science.

WhatsApp Bot

WhatsApp Bot enabling users to type in a level of difficulty and receive a random programming challenge. This project was built using Python, interacting with WhatsApp through a Twilio API

Kaggle: Predicting likelihood to make repeat purchase

Extracting data from Kaggle and using logistic regression to predict the likelihood of a customer making a repeat purchase

Boxing Prediction Web App

Web App predicting likely outcome of a fight between two boxers. Project involved scrapping data from BoxRec & CompuBox using Node.JS & Python, Data Cleaning, model building and building & deploying a web app built using R (Shiny Package).

Multi-channel attribution model

Building a luigi pipeline taking in data, cleaning it up and building a Monte Carlo Markov Chain to better understand the value of different users coming from different marketing channels using my old employer's data.

Data Science Bootcamp

Founded a Data Science bootcamp enabling users to login and access learning material. This transitioned into a platform enabling users to access mentor guided projects (Not this project). Built using Python (Django)

Predicting-likelihood-to-make-repeat-purchase: Write-up

A write up on a Kaggle project where I used logistic regression to predict the likelihood of a user become a repeat customer. This was published in HackerNoon.

Web App predicting boxing outcomes: Write-up

A write up on how I built a boxing prediction web app using Python and R. This was published in HackerNoon.

Building a WhatsApp ChatBot: Write-up

A write up on building a WhatsApp chatbot interacting with WhatsApp through the Twilio API using Python and Flask. This was published in HackerNoon.

Building an Interaction Dashboard with Python and Dash Plotly: Write-up

A write up on building an interactive dashboard visualizing boxing data using Python and Dash Plotly. This was published in HackerNoon.

Building a Web App to visualize Google My Business Discovery Data: Write-up

A write up on building a dashboard visualizing Google My Business Data. This was published in HackerNoon.

Startup Raising Seed Funding

We built a platform to train Data Science talent in Africa, raising close to $50 000 from angel investors.