The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations cover art

The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations
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Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a given dataset, and what that means for their own projects. Can a neural network ever be truly explainable? And if not, should we trust it anyway? #DataScience #MachineLearning #Analytics #DataEngineering #Statistics #Python #RStats #DeepLearning #AI #BigData #DataVisualization #PredictiveModeling #CausalInference #DataQuality #FeatureEngineering #Business #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How Data Scientists Use Embedded Analytics for Product-Led Growth

    How Data Scientists Use Embedded Analytics for Product-Led Growth
    Jul 5 2026
    Episode 92 of The Data Science Podcast with Fexingo dives into embedded analytics—the practice of integrating dashboards, reports, and AI insights directly into customer-facing products. Lucas and Luna explore how companies like Notion and Canva use embedded analytics to drive product-led growth, reduce churn, and monetize data. They walk through a real case: a fictional B2B SaaS platform that cut customer onboarding time by 40% by embedding usage analytics inside its app. The hosts discuss the technical stack (frontend SDKs, API-first BI tools, semantic layers), the UX pitfalls to avoid (like overwhelming users with charts), and the business model shift from selling reports to embedding them. If you're a data scientist or product manager wondering how to turn dashboards into a growth engine, this episode gives you a concrete playbook. #EmbeddedAnalytics #ProductLedGrowth #DataScience #BusinessIntelligence #Analytics #Notion #Canva #B2BSaaS #CustomerRetention #Monetization #SemanticLayer #APIFirst #UX #ProductAnalytics #Technology #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How Data Scientists Use Causal Inference for Marketing Attribution

    How Data Scientists Use Causal Inference for Marketing Attribution
    Jul 5 2026
    Most marketing attribution models are correlational — they tell you what happened, not why. In this episode, Lucas and Luna break down how data scientists are using causal inference techniques, specifically double machine learning and instrumental variables, to measure the true incremental impact of ad spend. Using a real 2025 case from a mid-market e-commerce brand that ran geo-lift tests across 50 DMAs, they show how naive last-click attribution overestimated Facebook ROI by 60 percent while underestimating podcast ads by 40 percent. The hosts explain why off-the-shelf attribution is broken, how double ML handles high-dimensional confounders like seasonality and competitor activity, and why the field is shifting from 'more data' to 'better questions.' Specific metrics, concrete numbers, no vague theory. #CausalInference #MarketingAttribution #DataScience #DoubleMachineLearning #InstrumentalVariables #GeoLift #IncrementalMeasurement #ROI #DigitalMarketing #Tech #BusinessPodcast #DataDriven #Analytics #Econometrics #CausalEffect #Confounders #AdTech #FexingoBusiness Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • How Data Scientists Use Knowledge Graphs for RAG

    How Data Scientists Use Knowledge Graphs for RAG
    Jul 4 2026
    In this episode, Lucas and Luna explore how knowledge graphs are supercharging retrieval-augmented generation (RAG) systems. They break down a concrete example: how a financial services firm used a knowledge graph built from SEC filings and earnings call transcripts to reduce hallucination in their Q&A chatbot by 40 percent. The hosts explain why flat vector search alone often fails, how graph traversal adds context, and what it takes to maintain a dynamic knowledge graph. They also touch on trade-offs like latency and engineering complexity. If you've wondered when RAG needs more than a vector database, this episode gives you the practical answer. #KnowledgeGraphs #RAG #RetrievalAugmentedGeneration #Hallucination #VectorSearch #GraphTraversal #Neo4j #SECFilings #EarningsCalls #NLP #LLMOps #DataScience #Technology #FexingoBusiness #BusinessPodcast #MachineLearning #GraphDB #EntityResolution Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
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