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🧞 About Me :

Jambo !

I am a Data Scientist and a Software Developer from Nairobi-Kenya.

  • 🔭 I’m working as a Data Scientist and contributing to frontend and backend for building web applications and data related softwares and tools.

  • 🌱 Exploring Technical Content Writing and Web3.

  • ⚡ In my free time, I write blog posts on LinkedIn, Twitter, Instagram and read tech articles.

  • 📫 How to reach me: [email protected] / +254720168846


🛠️ Languages and Tools :

React  Spring  Python  Flutter  Redux   CSS  HTML  JavaScript  Firebase  Gatsby  MySQL  NodeJS  AWS 

Allans's github activity graph

Allan Mutisya's Projects

default-of-credit-card-clients. icon default-of-credit-card-clients.

Main Objective: To estimate the probability of defaulting on payment by a credit card client based on the historical data provided using supervised and unsupervised machine learning models.

detecting-melanoma-using-cnn icon detecting-melanoma-using-cnn

Problem statement To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

financial-services icon financial-services

The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes.

food-security icon food-security

Our Project will shed some light on the nature of the challenges that agriculture and food systems are facing now and throughout the 21st century, and provides some insights as to what is at stake and what needs to be done. What emerges is that “business as usual” is no longer an option but calls for major transformations in agricultural systems, in rural economies and in how we manage our natural resources.

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