About

Mark Gacoka

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18 | Tech Enthusiast | Currently in Fintech.

Committed to developing innovative technology that works towards achieving The 17 Sustainable Development Goals.

You can read more about my projects and daily thought process as well as things I've learnt on my blog.

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SEO Marketing

I can optimize your website to be recognized by search engines such as Google and Bing to rank higher to increase traffic to your website.

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Web Development

I can develop and design a multipurpose or personal website. Be it a blog or company website, I will develop a secure and responsive webiste for your needs. Experience in HMTL, CSS, Django, XML, PHP and Javascript.

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Task Automation and Programs

I can design robust Python code and scripts that can automate tasks and do simple functions such as using API's, scraping or faster data collection and cleaning.

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Machine Learning

I can do data science using Python, explain machine learning concepts, training and testing models like facial recognition models and data analysis and representation of large amounts of data.

On the left most section is the Surfball game in the making using the Unity3D editor. It will be an Android game soon to be released in the Play Store.
On the right is an ongoing project in the Google Research Colab. It is a data science research on drought eradication through prediciton of weather patterns and human behaviours. Data is amazing!

Here is a screenshot of an Android Studio project for my new app – Viral Cloud. The app is on track to also be released to the Play Store soon. More details on the app is below.

Carbon Zero Team

Won at my First Hackathon

Here is a photo of a wonderful team I had the honors to work with during the Science Hack Day 2019 held in GitHub, 88 Colin P Kelly Jr. Street from October 19-20, 2019. We designed a fully-fledged app within 30 hours that motivates to reduce our carbon footprint.
Our team, Team Carbon, won the Best in Design Award. More Details.
V 1.1.1: The apk can be downloaded here

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Releasing an Open Source Facial Recognition Software

Currently coding a Facial Recognition software in Python that uses OpenCV and other machine learning libraries to detect and recognize faces with high probabilities; given a data-set of photos.

The first version of the software uses a dataset of 10,000 images from multiracial people of all ages. Link to the GitHub Repository.

Documentation coming soon.

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Joined Minerva Schools at KGI!

Currently enrolled in a select higher education institute with a diverse student body. It differs from traditional universities in both its curriculum and pedagogy. In my freshman year, I will be taught the Habits of Mind and Foundational Concepts while being immersed in San Francisco. Thereafter, travelling to 6 other world cities during my academic time.

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POSTAL ADDRESS
Gacoka Mbui
16 Turk Street
San Francisco, CA
94102
Keep on smiling. Have a nice day!
Contact ME

Personal Email: markgacoka@gmail.com

Business Email: admin@markgacoka.com

School Email: markgacoka@minerva.kgi.edu