You will get Excel/CSV Healthcare Data Cleanup for Dashboards & Reports
Project details
Stop struggling with messy datasets. You’ll get a clean, analysis‑ready healthcare or technical dataset you can trust for reporting, research, or machine learning. I specialize in turning fragmented exports (EMR, device logs, spreadsheets, SQL dumps) into structured data that’s easy to analyze and document. With a biomedical engineering background and experience in Python, SQL, and Excel, I understand both the technical and domain‑specific requirements of your data. I systematically handle missing values, duplicates, inconsistent formats, and outliers while maintaining a reproducible pipeline.
Why choose this project?
Domain expertise: Experience with sensitive clinical and technical data.
Data privacy: I can de‑identify PII/PHI to help you stay compliant.
Clear documentation: You receive a cleaned dataset plus a brief data quality summary explaining key cleaning decisions.
I deliver careful, reproducible work that’s ready for your next analysis step.
Why choose this project?
Domain expertise: Experience with sensitive clinical and technical data.
Data privacy: I can de‑identify PII/PHI to help you stay compliant.
Clear documentation: You receive a cleaned dataset plus a brief data quality summary explaining key cleaning decisions.
I deliver careful, reproducible work that’s ready for your next analysis step.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$75
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 1 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
+$15
Additional Source Mined/Scraped
+$20
Additional Revision
+$20Frequently asked questions
About Kevin
Healthcare Data & AI Engineer | EMR, ETL & AI-Ready Data
Nairobi, Kenya - 7:57 pm local time
I’m a Biomedical Engineer and Healthcare Data & AI Engineer with hands-on hospital experience across ICU, theatre, laboratory, and clinical operations in Kenyan Level 5/6 referral hospitals. I understand both sides of the problem: the clinical workflow where data is created and the technical pipeline needed to make that data usable.
What I can help you build
• EMR and clinical data cleaning pipelines
I clean, normalize, validate, and structure raw CSV, Excel, EMR, and API data so your team can trust the output.
• Automated healthcare reporting workflows
I build Python-based ETL workflows that reduce manual reporting, repeated spreadsheet work, and inconsistent data preparation.
• PostgreSQL databases for clinical and operational data
I design clean schemas for patient flow, appointments, lab results, device logs, clinical activity, and reporting workflows.
• Healthcare analytics notebooks and dashboards
I help you analyze no-shows, turnaround time, readmissions, resource use, patient flow, and operational bottlenecks.
• AI-ready healthcare datasets
I prepare labeled, balanced, documented datasets for machine learning teams working on clinical AI, triage, risk prediction, and decision-support prototypes.
Why work with me
Healthcare data is not ordinary business data.
A missing value, duplicate patient ID, impossible vital sign, inconsistent timestamp, or poorly structured export can affect reporting accuracy, model quality, and operational decisions.
That is why I focus on:
• clinical context
• data validation
• clean database structure
• reproducible code
• clear documentation
• practical outputs your team can use
I’ve built clinical AI prototypes including pneumonia classification, ECG arrhythmia detection, and diabetes risk modeling, so I understand what makes healthcare data usable for downstream AI work.
I also build healthcare workflow intelligence prototypes using synthetic or anonymized data. My recent Clinical Workflow Signal Audit portfolio project shows how ICU-style workflow signals can be cleaned, validated, structured, and converted into audit trails, escalation logic, PostgreSQL schema design, and dashboard-ready outputs.
Example project
In my Healthcare Data Cleaning & Quality Reporting project, I take a messy clinical-style CSV and turn it into:
• cleaned tables
• validation checks
• PostgreSQL schema
• quality report
• analysis-ready dataset
This gives you a clear example of how I work from raw healthcare data to structured, decision-ready output.
How to start
Send me:
• a small anonymized sample file
• your current reporting or data problem
• 2–3 questions you need the data to answer
I’ll review it and send back a clear plan, timeline, and fixed-price estimate.
Let’s turn your healthcare data into something your team can trust, analyze, and use.
Steps for completing your project
After purchasing the project, send requirements so Kevin can start the project.
Delivery time starts when Kevin receives requirements from you.
Kevin works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement & data review
You provide the dataset and any data dictionary or notes. I review your goals and confirm scope, tier, and cleaning rules before work begins.
Initial data assessment
I scan the data for structure, missing values, duplicates, and outliers, then reach out with any clarification questions about inconsistencies.