Hi there, I'm
Turning raw data into meaningful insights through SQL, Python, AWS, and BI tools.
I'm a Data Analyst who genuinely enjoys making sense of messy data. I set clear goals, stay focused until they're done, and take pride in delivering work that actually moves the needle. My toolkit — SQL, Python, Power BI, and AWS — is how I turn raw numbers into insights people can act on.
I'm a people person at heart. I believe the best analytical work happens in teams where everyone communicates openly and honestly. I tend to be direct — not because I'm blunt, but because I think clarity saves time and builds trust. If something can be said plainly, I'll say it plainly.
Covers the entire data analysis process: ask, prepare, process, analyze, share, and act — using spreadsheets, SQL, Tableau, and R.
Verify Certificate →Foundations of data analytics with Microsoft tools, covering data modeling, visualization, and business intelligence with Power BI.
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Cloud data pipeline for a UK-based retailer: Python for cleaning and star schema modeling, Amazon S3 as data lake, Redshift Serverless as warehouse (406k rows), and a 4-page Power BI dashboard covering revenue, customers, products, and geography.
End-to-end analytical pipeline for a fashion retailer operating across 4 countries. Python and Pandas for data generation and cleaning, MySQL as the source of truth, and a Power BI executive dashboard covering channel performance, customer segments, and return rates.
Full data pipeline analyzing a year of Plato's Pizza sales data: Python and Pandas for cleaning and feature engineering, Power BI for an interactive multi-page dashboard covering revenue trends, best-sellers, and peak hours.
Interactive Power BI dashboard analyzing 60,531 accident records on Brazil's federal highways (2018–2020). Covers temporal trends, hourly/weekly patterns, top causes, and fatality rates across 4 states.
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Using SQL Server, this project transforms raw Nashville housing data — standardizing formats, removing duplicates, and restructuring the dataset to improve its usability for downstream analysis.
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Exploratory data analysis to identify layoff trends, totals, and rankings by company, year, and funding stage using MySQL.
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Interactive dashboards analyzing AirBnB metrics, pricing trends, and market performance across key dimensions.
View ProjectI'm currently open to new opportunities. Whether you have a question, a project in mind, or just want to connect — feel free to reach out.
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