October 2023

In this capstone project, I leveraged the power of Python and Excel to delve into a comprehensive exploration of data. Employing Exploratory Data Analysis (EDA) and proficient data preprocessing techniques with Pandas, I gained profound insights into the dataset.

Utilizing statistical methods such as Standard Deviation, Mean, Mode, and Median through NumPy, I conducted a thorough analysis, identifying key patterns that informed subsequent decision-making processes.

 

The project also involved the creation of a Classification Machine Learning Model, specifically a Linear Regression model, achieving an impressive 80% efficiency. I crafted compelling visualizations using Matplotlib and Seaborn libraries to communicate the discovered trends and patterns.

 

This endeavor showcased my proficiency in AI/ML technologies and demonstrated my ability to transform raw data into actionable insights, providing a solid foundation for data-driven decision-making."

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Business Opportunities:

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• Immunocompromised Care Solutions:  With 83% of ICU patients having immunocompromised status, there's a potential business opportunity in developing and providing specializeded care solutions for immunocompromised individuals. This could involve the creation of immune-boosting products, at-home care services, or technologies that assist in managing the health of this specific patient population.

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• Senior Emergency Response Systems:  Since more males above 65 are admitted to the ICU after 12 hours compared to females, there's an opportunity to create and market emergency response systems tailored to the elderly, with a focus on quicker response times. This could involve the development of wearable devices, mobile applications, or home-based alert systems that can notify emergency services and family members in case of health emergencies for this demographic.

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Key Skills:

 

1. ​Exploratory Data Analysis (EDA)

2. Data Preprocessing with Pandas

3. Statistical Methods (Standard Deviation, Mean, Mode, Median) using NumPy

4. Classification Machine Learning Model (Linear Regression)

5. Model Evaluation (65% efficiency)

6. Data Visualization with Matplotlib and Seaborn

7. Python Programming - Scikit-learn, TensorFlow

8. Excel Data Analysis