Hey there

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👨‍💻 Data Scientist | Biomedical Engineer | Curious Explorer

🌟 About Me

I am a Biomedical Engineering graduate from Kenyatta University, Kenya and my journey has been a delightful blend of science, curiosity and creativity.

🚀 My approach

🤔 I am a naturally a curious person and I thrive where there are questions to ask
📫 I enjoy finding order in complex sytems and chaos, and I try to diversify the solutions in order to make systems efficient
🔭 I like to think and strategize based on concrete data
⚡ Solving problems and making people's lives easier through my work gives me a sense of purpose and achievement

🌐 GitHub Chronicles:

Explore my repositories, and you will find: 📊 Data pipelines (that are pretty cool) 🤖 Machine learning models 📈 Visualizations that tell stories in pixels

🔥 My Stats :

In a Nutshell:

🔭 I’m currently building my skills in data science and machine learning

🌱 I’m currently learning how to build innovative products
🤔 I’m looking for help with breaking into open source contribution
⚡ Fun fact: I rewatch One Piece Episodes during my free time

Muiruri C's Projects

capstone-project_attempt1

This project is about maternal health analysis and the attributes responsible for the high risk of deaths in pregnant women . Analysis using regression and classification models to determine the attributes responsible for response variable . The dataset used for this project is Maternity health

cardiotocography_fetal_risk

multivariate CTG dataset of 2126 pregnant women obtained from University of California Irvine Machine Learning Repository

data_science2022

Repository for KamiLimu's Cohort7 mentees taking the Data Science ICT Track

explore_ai_predicts

projects that are part of the explore_ai datascience bootcamp

exploreai_powerbi

MCQ data and predict with PowerBI

gas_sensor

gas sensor using raspberry pi proteus simulation with source code

home_automation

home automation using raspberry pi, simulation and code

ksl_to_text

American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.

maternal_diabetes_prediction_system

A project based on predicting the diabetic risk for a pregnant lady using a dataset of Pregnant Women from Kaggle, and by doing the EDA and applying the machine learning algorithm to predict the best results, also used micro framework Flask for the connectivity to the front end implemented using Bootstrap and JavaScript.