I turn raw signals into decisions through clean data, clear dashboards, and practical recommendations.
Every dataset starts as noise. My work is to find the question, shape the evidence, and deliver the insight in a form people can use.
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Ask -> Clean -> Query -> Visualize -> Explain -> Recommend
Question: How can race strategy and lineup decisions become easier to compare from performance data?
Output: A live Formula 1 analytics product with strategy simulation and fantasy lineup optimization.
Analyst value: turns domain data into a decision surface where users can compare scenarios instead of reading static numbers.
Tools and themes: data modeling scenario analysis dashboard thinking performance comparison decision support
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Question: How can unstructured documents become searchable research material? Output: A private document assistant for PDFs, DOCX, and TXT files. Analyst value: supports research-heavy workflows where source material needs to become inspectable and queryable.
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Question: How can a technical idea be packaged so others can inspect it? Output: A Python project with public documentation and a published project page. Analyst value: shows the delivery layer of analysis: not just doing the work, but making it readable.
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I use SQL to define the grain, join cleanly, aggregate carefully, and make metrics traceable.
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I use Python when the work needs cleaning, exploration, repeatable transformation, or deeper analysis.
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I use BI thinking to turn metrics into dashboards that support comparison and action.
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I care about documentation, version control, and open-source workflows because analysis should be inspectable.
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I keep my open-source work close to the data ecosystem: visualization, databases, and contribution workflows.
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Open-source BI and data exploration platform.
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Open-source Postgres platform for data-backed applications.
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Community project for learning contribution workflows.
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Target Roles Data Analyst / Junior Data Analyst / Product Analyst
Primary Stack SQL, Power BI, Python, PostgreSQL, Azure, Excel
Portfolio Story Dashboards, business questions, open-source data tools
Signature Clear questions, clean evidence, practical recommendations
Open to Data Analyst, Junior Data Analyst, Product Analyst, and open-source analytics opportunities.