#data-science
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Test Campaign Boosts Profit but Needs Funnel Fixes
Test campaign delivers higher revenue ($781,850 vs $758,050) and profit ($704,958 vs $691,232) with stat sig (p~0), higher CTR (10.2% vs 5.1%), but lower ROI (9.3 vs 10.6) and CAC ($4.92 vs $4.41). Scale it while targeting mid-funnel drop-offs.
Synthetic Data Exposes Hidden ML Bias Before Production
Real training data hides bias via underrepresentation (e.g., rural at 9%), proxies, and skewed labels; generate synthetic data with controlled segments (e.g., rural at 25%) to reveal it through disaggregated AUC drops (0.791 to 0.768) and disparate impact <0.8, then retrain on mixed data to fix.
Track One User-Feature Pair to Catch ML Pipeline Bugs
A rec model's 0.91 AUC failed in prod after 4 days due to 21-hour stale user_30d_purchases features. Track user U-9842 and this feature through every pipeline layer to expose and prevent such mismatches.
Production ML Pipelines with ZenML: Custom Materializers & HPO
ZenML enables end-to-end ML pipelines with custom DatasetBundle materializers for metadata-rich serialization, fan-out over 4 hyperparameter configs for RandomForest/GradientBoosting/LogisticRegression, fan-in best-model selection by ROC AUC, full artifact tracking, and cache-driven reproducibility on breast cancer dataset.
Scale GenAI to Billions of Rows in BigQuery at 94% Less Cost
BigQuery's optimized mode distills LLMs into lightweight models using embeddings, slashing token use by 94% (55M to 3M) and query time from 16min to 2min on 34k images or 50k voice commands, scaling to billions of rows.
Stream Parse TaskTrove Dataset for AI Task Insights
Stream multi-GB TaskTrove dataset without full download; parse gzip-compressed tar/zip/JSON binaries to analyze sources, sizes (median p50 KB compressed), filenames, and detect verifiers for RL-ready tasks via multi-signal heuristics.
Build Queryable Options IV DB from Live API Polls
Capture SpiderRock LiveImpliedQuote snapshots for TSLA every 10s into SQLite: append full history for audits (12k+ rows in 2min), upsert latest view per option_key. Query to reconstruct vol smiles and track ATM IV/skew changes over time.
Parse, Analyze, Visualize Hermes Agent Traces for Fine-Tuning
Extract thoughts/tool calls from Hermes agent dataset with regex parsers; compute stats like avg turns per trajectory, tool frequencies, error rates; visualize patterns; tokenize with assistant-only labels for SFT on Qwen models.
Data Science Splits: Engineer Pipelines or Lead Decisions
Data scientist roles are dividing into technical data engineering (SQL up 18%, ETL up 18%) and strategic decision-making; AI automates mid-level generalist tasks, squeezing the middle—specialize in one side now.