Hello, I'm John Mary Nyajura

About Me

Welcome to my digital space!
I am a passionate and driven technology enthusiast with a deep interest in data science, artificial intelligence (AI) & machine learning (ML), cybersecurity, and networking.

Currently, I am pursuing statistics and programming at Mama Ngina University, refining my expertise in data analysis, software development, and system security.
I am also a junior data scientist and analyst at AMREC Consultants, where I completed a mentorship focused on research, data-driven decision-making, and analytical problem-solving.

Beyond academics, I am actively involved in multiple ventures. I run JeanStores, an e-commerce business, and Anticon, a startup leveraging QR codes to track online product sales and prevent counterfeit deliveries.

Additionally, I am developing a social networking platform with advanced features such as user authentication, age restriction (18+), real-time chat, multimedia uploads, and geo-location capabilities.
I am also working on a website for a friend’s laptop business and creating this portfolio to showcase my work and skills.I am always looking for opportunities to grow, whether through hackathons, freelance projects, or research in cybersecurity and AI.

I am constantly exploring innovative technologies, developing robust algorithms, and enhancing my problem-solving skills to tackle real-world challenges.
Whether it's crafting AI-driven solutions, analyzing complex datasets, fortifying cyber defenses, or optimizing network performance, I am committed to leveraging my skills to drive impact and innovation in the ever-evolving tech landscape.

Let’s connect and explore how technology can shape the future! 🚀

Skills

Web Development

HTML

CSS

JavaScript

React

TypeScript

Data Science and Analytics

Python

R

SQL

AI & ML

TensorFlow

Pytorch

Power BI

Tableau

Pandas

NumPy

Mobile App Development

React Native

Rust

Flutter

Java

Blockchain

Solana

Rust

Motoko

Projects

Project 1: COVID-19 Data Analysis with Python

Description: Analyzed global COVID-19 data to visualize trends, patterns, and key insights using Python libraries like Pandas, Matplotlib, and Seaborn.
Technologies: Python, Pandas, Matplotlib, Seaborn.
Key Features: Data cleaning, exploratory data analysis (EDA), and interactive visualizations.

View on Kaggle Download Notebook

Project 2: Customer Churn Prediction with Scikit-Learn

Description: Built a machine learning model to predict customer churn for a telecom company using Scikit-Learn. The model achieved an accuracy of 85%.
Technologies: Python, Scikit-Learn, Pandas, NumPy.
Key Features: Data preprocessing, feature engineering, model evaluation, and deployment.

View on Kaggle Download Notebook

Project 3: Student habits vs academic performance

Description: Built a machine learning model to predict student's academic performance vs habits. The model achieved an accuracy of 85%.
Technologies: Python, Scikit-Learn, Pandas, NumPy, Seaborn.
Key Features: Data preprocessing, feature engineering, model evaluation, and deployment.

View on Kaggle Download Notebook

Project 4: Blockchain Implementation in Python

Description: Created a simple blockchain implementation in Python to demonstrate the core concepts of blockchain technology, including blocks, hashing, and proof-of-work.
Technologies: Python, Flask (for a simple web interface), Django for backend, React for the frontend.
Key Features: Block creation, hashing, proof-of-work, and a simple web interface to interact with the blockchain.

View on GitHub Download Code

Contact Me