Hi, I'm Sandy G. Cabanes — a Freelance Full-Stack Data Analyst with a strong Marketing Research background.
AI spaces have made it easier to get an answer — but it is still critical to have clean data, sound structure, secure settings, replicability, and of course, pipelines that work. ML APIs are racing to get the analysis done quickly, but it is still important to link analysis to the right business questions, and make them actionable.
My work focuses on:
- Building end-to-end pipelines to analysis for small teams and organizations
- Cleaning and structuring data so it's ready for analysis — or for whatever AI layer sits on top
- Delivering dashboards and insight reports that people can actually use
Tools I use: Python, SQL, R, Power BI, Tableau, Excel with Power Query.
Experience with cloud environments: Google Cloud, AWS, Azure, Databricks.
You can browse my analysis projects and case studies in the repositories below.
For a more comprehensive gallery of projects, see the Showcase Page
A data pipeline that moves Xero accounting data into Google BigQuery automatically, applies a transformation layer using dbt, and produces analytics-ready tables that can be queried across all invoices, clients, and time periods simultaneously. Click Here for Analyst's Report to Stakeholders
Click Here for the Full Pipeline Details
Click Here for the Data Quality Findings
Applies modern data workflow in the Databricks cloud platform. Parsed annual traffic data from Metro Manila Development Authority portal that are only available in scanned pdf hard copies of reports. Data from pdfs automatically stored as delta tables in Databricks.
Click Here for Analyst's Report to Stakeholders
Click Here for Analyst's Report to Stakeholders
Click Here for Analyst's Report to Stakeholders
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- ECommerce Sales and Customer Analytics With Supabase Google Sheets and Looker Studio
- RetailCo Holiday Sales Insights with DBT and Python
- Health Code Compliance Analysis for NYC Restaurants Using SQL, Power BI
- Market Size Revenue and Share Estimates of Electric Vehicles in WA -R, Excel, Python
- Anonymized Real-World Data Using Bayesian Networks to Protect Privacy - Python
- Privacy Protection Using Bayesian Networks on Real World Survey Data to Produce Anonymized Dataset - R
- Interactive Dashboard Public Link -Tableau
- Interactive Dashboard for Easy Download, Only Browser Needed - Python to HTML
- Latin America Urbanization Storytelling with Data - Power BI
- Python - Automated Data Processing of Raw Data
- Python - Unicode Flowchart Builder App
- Python - Converting mp4 to gif
Data Engineering: