I will analyze your healthcare dataset using python and pandas
About this Gig
Do you need help turning healthcare data into clear, useful insights?
I am a Clinical Pharmacist with a background in healthcare and hands-on experience in healthcare data analysis using Python, Pandas, and data visualization.
My services include:
- Healthcare dataset cleaning and preparation
- Handling and identifying missing values
- Exploratory Data Analysis (EDA)
- Descriptive statistical analysis
- Data visualization using Matplotlib
- SQL-based data querying and analysis using MySQL
- Clear summaries of findings and data quality issues
Why work with me?
My clinical pharmacy background helps me understand healthcare terminology and interpret healthcare datasets carefully. I focus on organized analysis, transparent methods, and clear communication of findings.
What you will receive:
- A cleaned dataset when requested
- A Python notebook or analysis script, depending on the project
- Relevant charts and summary statistics
- A clear report explaining the main findings
I work with healthcare datasets for research, education, and analytical purposes. My services do not provide clinical diagnoses, treatment recommendations, or medical decision-making.
Please contact me before ordering to discuss your dat
Technology:
Jupyter Notebook
•
MATLAB
•
Pandas
Analysis type:
Quantitative analysis
•
Descriptive analysis
Expertise:
Statistics
Programming language:
Python
My Portfolio
FAQ
What file formats do you accept?
I can work with common data formats such as CSV and Excel files. Please contact me before ordering if you have another format or a large dataset.
What deliverables will I receive?
Depending on your package, you may receive a cleaned dataset, Python analysis script or notebook, visualizations, and a concise summary of findings. Please confirm your requirements before ordering.
Can you analyze healthcare datasets?
Yes. I can help explore healthcare datasets, assess data quality, calculate descriptive statistics, and create visualizations. Please remove personal identifiers and sensitive patient information before sharing your data. The service is for analytical purposes and does not provide clinical diagnoses

