Hi 👋, I'm Israel Josiah

Business Data Analyst and Excel App Developer

🔭 Currently building BiteExpress , a restaurant food delivery service
🌱 I’m also currently learning Python: Flask & Python: Machine Learning
💬 Ask me about Python, SQL, Power BI & Excel
📫 How to reach me: [email protected]
⚡ Fun fact: "Not all heroes wear capes, some wear glasses and work with data. 🦸‍♂️🤓🌟"

This project aims to gain valuable insights into the cost structure, identify cost drivers, and make data-driven decisions to mitigate or minimize cost implications, thereby improving the overall financial efficiency of the healthcare services provided to HMOs Cast study: Almadina Clinic

The goal of this project is to build an end-to-end visual project to answer various business questions posed by stakeholders.
The analysis involves creating an SQL database, uploading Excel data to the database, connecting it to Power BI, and building visualizations to present key insights.

The system allows users to enter, track, and analyze expenses through a custom userform giving a real-time analytics dashboard including report generation and budget creation.
The system was successfully deployed to over 50 users, significantly saving time and money.

This comprehensive solution is designed to streamline claims processing and management for healthcare providers, specifically tailored for Almadina Clinic.
This project was initiated to address the challenges faced by Almadina Clinic in tracking claims, ensuring data accuracy, and meeting submission deadlines.
It serves as an efficient tool for NHIS officers to manage and process claims seamlessly.

This advanced inventory mgt system allows organizations to track all organizational assets, gadgets, and office stationery to estimate and ascertain their worth based on life data entry
Manage various assets, including printers, scanners, and office equipment.
The system calculates the state, quantity, and location of assets and assists in making informed decisions about repairs and replacements.

Real Estate Price Prediction (Machine Learning): Developed a machine learning model to predict real estate prices using historical data, property features, and market trends. The model assists potential buyers and sellers in making informed decisions.
Image Classification (Machine Learning): Created a machine learning model to classify images into predefined categories. This technology is valuable in applications like image tagging and content moderation.
Potato Disease Classification (Deep Learning): Utilized deep learning techniques to build a model for classifying diseases in potato plants based on leaf images. This project supports early disease detection in agriculture.
Chatbot Development (NLP): Designed and implemented a chatbot using Dialogflow, enhancing user engagement and interaction on various platforms. This chatbot provides instant responses and assistance.