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Data Science allows us to extract meaning from and interpret data.

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How we measured 83% of was-prices were fake (methodology deep-dive)

How we measured 83% of was-prices were fake (methodology deep-dive)

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1 min read
I turned a food-safety exam blueprint into a 580-item open dataset (and what the schema taught me)

I turned a food-safety exam blueprint into a 580-item open dataset (and what the schema taught me)

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4 min read
Neural Networks, its Inspiration and Various Components.

Neural Networks, its Inspiration and Various Components.

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4 min read
pytrends trending_searches returns 404? Get Google Trends 'Trending Now' from the RSS feed (2026)

pytrends trending_searches returns 404? Get Google Trends 'Trending Now' from the RSS feed (2026)

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4 min read
Reading the S1MB result: why Borda aggregation makes a #1 harder to fake

Reading the S1MB result: why Borda aggregation makes a #1 harder to fake

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2 min read
I analyzed [12,347] love letters without opening a single one

I analyzed [12,347] love letters without opening a single one

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5 min read
Overlapping windows will manufacture statistical significance in your backtest

Overlapping windows will manufacture statistical significance in your backtest

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2 min read
The data engineering reality of GNNs in production

The data engineering reality of GNNs in production

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2 min read
Promotion-aware retail demand forecasting: what worked and what I can't claim

Promotion-aware retail demand forecasting: what worked and what I can't claim

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2 min read
One developer, one year, 1.8 billion rows: a point-in-time alternative-data platform

One developer, one year, 1.8 billion rows: a point-in-time alternative-data platform

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3 min read
Teaching small models to read job postings: our arena and the JOA Small, Advance and Deep fine-tunes

Teaching small models to read job postings: our arena and the JOA Small, Advance and Deep fine-tunes

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4 min read
I modeled the Jevons paradox for TypeSafe's Jev. My first model was wrong, twice.

I modeled the Jevons paradox for TypeSafe's Jev. My first model was wrong, twice.

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4 min read
Scraping YouTube comments without the API quota (and the bug where 300 comments meant one thread)

Scraping YouTube comments without the API quota (and the bug where 300 comments meant one thread)

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3 min read
Stop Writing the Same Pandas Boilerplate: How We Built a Visual Pipeline Studio for ML Preprocessing

Stop Writing the Same Pandas Boilerplate: How We Built a Visual Pipeline Studio for ML Preprocessing

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1 min read
When More Robot Data Hurts: a Closed-Loop Test of Data Curation

When More Robot Data Hurts: a Closed-Loop Test of Data Curation

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2 min read
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