Do you have healthcare, clinical, operational, or other tabular data that needs to be cleaned, validated, and turned into clear insights?
I am a Doctor of Dental Surgery (DDS) with hands-on experience in healthcare data analytics using Python, pandas, SQL, Microsoft SQL Server, scikit-learn, and Power BI.
For this Gig, I can help you with:
• Cleaning and validating CSV, Excel, or tabular datasets
• Identifying missing values, duplicates, inconsistent formats, and data-quality issues
• Transforming and preparing data for analysis
• Exploratory data analysis and clear summary statistics
• SQL-based analysis and queries
• Creating clear tables, charts, and actionable analytical summaries
• Preparing analysis-ready datasets for further reporting or machine-learning work
Base Gig scope:
• One small-to-medium tabular dataset
• Data cleaning and validation
• Exploratory analysis
• Cleaned output file
• Python notebook/script or SQL queries, where applicable
• Short summary of findings
• One revision
My background combines clinical healthcare experience with reproducible data-analysis and machine-learning workflows. This is especially useful for healthcare, clinic operations, appointment, and other health-related datasets.
My portfolio also includes reproducible Power BI reporting and a healthcare machine-learning evaluation project using chronological validation, probability calibration, and protected future evaluation.
For larger datasets, Power BI dashboards, predictive-model evaluation, or custom analytical workflows, please message me before ordering so we can define the scope and price.
Important: Please do not provide identifiable patient information or protected/confidential health data unless you are authorized to share it and appropriate safeguards are in place.
GitHub portfolio:
