🧬 Capstone Project: Dry Eye Disease (DED)

🔎 Lifestyle-Driven Risk Insights | 🧠 Clinical Data Visualization | 💡 Preventive Care Strategies

---

🧠 Overview

This healthcare-focused data analysis project explores the behavioral and lifestyle factors contributing to Dry Eye Disease (DED) using patient data.By analyzing patient-level data, we identified key risk indicators and visualized trends to support early diagnosis and preventive care.

---

🎯 Objective

To uncover high-impact risk factors such as sleep habits, stress levels, screen time, and physical activity — helping healthcare professionals and patients recognize triggers before clinical symptoms intensify.

---

🧰 Tools & Technologies Used

• 📊 Microsoft Excel — for data cleaning, grouping, and pivot-based analysis
• 🧮 MySQL — for structured querying of clinical records
• 📈 PowerPoint — to present data narratives and treatment guidelines

---

🔍 Key Findings

• 👩‍⚕️ Females showed a slightly higher prevalence of DED than males
• 💤 Poor sleep quality, short sleep duration, and sleep disorders were major contributing factors
• 😫 High stress levels were strongly correlated with increased DED symptoms
• 🛋️ Low physical activity was also linked with more severe eye discomfort
• 👁️ Commonly reported symptoms: Redness, Dryness, Itchiness, Eye Strain

---

🧑‍⚕️ Treatment Recommendations

To minimize DED risk and improve ocular comfort:

• 🔁 Follow the 20-20-20 Rule (every 20 minutes, look 20 feet away for 20 seconds)
• 👁️ Blink regularly, especially during screen time
• 🖥️ Adjust screen brightness and ergonomic setup
• 💧 Use lubricating eye drops (e.g., Systane) if advised
• 🛏️ Maintain consistent sleep patterns and schedule regular eye exams

---

📈 Visualized Insights

• Age & Gender prevalence charts
• Sleep quality vs. DED impact maps
• Stress segmentation and symptom clustering
• Activity level comparisons with symptom severity

---

💡 Outcome

This project showcases the potential of data analytics in clinical decision-making, offering:

• Early warning indicators for Dry Eye Disease
• Data-driven recommendations to reduce symptom severity
• Strong alignment with preventive optometric care

---

🙋‍♂️ Author

I’m Syed Hur Abbas Naqvi, a Certified Data Analyst skilled in Python, SQL, Microsoft Power BI, Excel, and Machine Learning.
I specialize in turning raw data into business intelligence that drives growth — from data cleaning & EDA to visualization & strategic insights.

🌐 Portfolio: https://hurabbas05.github.io/
🔗 LinkedIn: https://www.linkedin.com/in/hurabbas05/
📧 Email: syedhur572@gmail.com
📞 Phone: +923036098700

---