You will get Healthcare Data Analysis and Predictive Patient Risk Modeling
Project details
You will receive a high-quality, tailored solution designed to meet your specific needs and deliver measurable results. I focus on clarity, precision, and user-centered outcomes to ensure your project stands out and performs effectively. With strong attention to detail and a commitment to quality, I aim to transform your ideas into a professional and polished final product that aligns with your goals. Every deliverable is carefully crafted to be original, reliable, and impactful, ensuring value for your investment and satisfaction with the final outcome.
Machine Learning Tools
Google Sheets, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, scikit-learn, SciPy, SQL, TableauWhat's included
| Service Tiers |
Starter
$80
|
Standard
$90
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 2 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 2 | 2 | 2 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 3 | 3 | 4 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$60
Additional Graph/Chart
(+ 1 Day)
+$60
Model Validation/Testing
(+ 1 Day)
+$80
Model Documentation
(+ 1 Day)
+$45
Data Source Connectivity
(+ 1 Day)
+$45
Source Code
(+ 2 Days)
+$80About Gofrey
Health data analyst/ public health data scientist, medical doctor
Nairobi, Kenya - 4:00 am local time
My professional background uniquely combines hands on clinical experience with advanced data analytics skills. This allows me to understand both the real world healthcare environment and the technical side of data science. I do not just analyze data I interpret it in a clinical and public health context to ensure the insights are meaningful, practical, and actionable.
I work with a wide range of healthcare and public health datasets, including patient records, disease surveillance systems, survey data, and program monitoring data. I use Python (pandas, NumPy, scikit-learn), SQL, and statistical methods to clean, process, and analyze data efficiently and accurately. I also create interactive dashboards and visual reports using Power BI and Tableau to help organizations easily understand trends and make informed decisions.
What I Do Best
I specialize in turning raw and complex health data into insights that support decision-making at clinical, research, and policy levels. My core strengths include:
Healthcare data analysis using Python, SQL, and Excel
Cleaning, structuring, and managing large and messy datasets
Statistical analysis for epidemiology and biostatistics
Disease trend analysis and outbreak pattern identification
Predictive modeling for healthcare outcomes and risk prediction
Dashboard development and data visualization (Power BI / Tableau)
Monitoring and evaluation (M&E) of health programs and interventions
Translating technical findings into simple, decision-ready insights
Areas of Experience and Interest: I have experience and strong interest in:
Infectious disease epidemiology (malaria, TB, HIV, and emerging diseases)
Public health surveillance systems and outbreak response
Clinical research and healthcare data interpretation
Health systems strengthening and performance evaluation
Machine learning applications in healthcare analytics
Global health programs and data-driven policy support
My Background Advantage
Unlike traditional data analysts, I bring clinical knowledge into data science. This means I understand:
How diseases progress in real patients
What healthcare providers actually need from data
How public health systems operate in real environments
The practical implications behind statistical results
This combination allows me to bridge the gap between data and healthcare decision-making, ensuring that insights are not only statistically correct but also clinically relevant.
Tools & Technologies: I am proficient in:
Python (pandas, NumPy, matplotlib, scikit-learn)
SQL for data extraction and manipulation
Excel (advanced analysis and reporting)
Power BI and Tableau
Statistical analysis and modeling techniques
Data cleaning, transformation, and validation workflows
What Clients Can Expect From Me: When working with me, clients can expect:
High-quality, accurate, and clean data analysis
Clear communication and timely delivery
Actionable insights, not just raw numbers
Well-structured reports and visual dashboards
Strong attention to detail and data integrity
A professional approach to problem-solving
I focus not only on completing tasks but also on ensuring that the results are useful for real-world decision-making.
Why I Am Seeking Remote Work
I am actively seeking remote opportunities in health data analytics, epidemiology, biostatistics, and healthcare data science. My goal is to collaborate with global teams, research institutions, NGOs, and healthcare organizations to support data-driven solutions that improve health outcomes worldwide.
Remote work allows me to apply my skills to diverse datasets and health systems, while continuously growing in advanced analytics and machine learning applications in healthcare.
Collaboration Style: I am open to:
Short-term freelance projects
Long-term remote contracts
Research collaborations
Healthcare analytics consulting work
I value clear communication, structured requirements, and impactful outcomes. I am highly adaptable and committed to delivering quality results on time. I am particularly focused on solving real-world healthcare challenges using data. This includes identifying disease trends early, supporting efficient allocation of healthcare resources, and improving the effectiveness of public health interventions. My goal is always to ensure that data leads to better decisions and measurable impact.
I am also committed to continuous learning and staying updated with advancements in data science, machine learning, and public health analytics. This allows me to apply modern techniques to healthcare problems and deliver solutions that are both innovative and practical.
Steps for completing your project
After purchasing the project, send requirements so Gofrey can start the project.
Delivery time starts when Gofrey receives requirements from you.
Gofrey works on your project following the steps below.
Revisions may occur after the delivery date.
Project Steps
Requirements Submission – Client provides project details Project Creation – Work is developed Review & Revisions – Client gives feedback Final Delivery & Approval – Final version is delivered and approved