AI Assistants for Analysts: Using LLMs to Speed Up SQL, EDA, and Reporting
Analysts spend 80% time on data plumbing. LLM‑powered assistants now…
Author: Deepak Nagpal
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Handling Imbalanced Data: SMOTE, Class Weights, and Better Metrics
Most real datasets are imbalanced: 99% “normal” transactions, 1% fraud….
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From Analyst to Analytics Engineer in Modern Data Teams 2026
The “SQL analyst” role is dividing some stay generalists; others…
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Recommender Systems 101: Collaborative Filtering vs Content Based?
80% of Netflix viewing, Amazon purchases, Spotify plays come from…
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Multi Cloud and Hybrid Data Architectures: Pros, Cons, and Patterns 2026?
No vendor lock‑in, best‑of‑breed tools, disaster recovery Multi Cloud and…
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Clustering Algorithms: K‑Means, Hierarchical, and DBSCAN 2026?
Unsupervised learning helps in discovering the hidden structure. Clustering Algorithms…
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Data Science for Revenue Teams: Pricing, Discounting, and Revenue Optimization 2026?
Revenue teams live or die by decisions on prices. Data…
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Causal Inference Basics: Correlation vs Causation and When A/B Tests Aren’t Enough 2026?
Correlation vs Causation, but business wants causal answers: “Will this…
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LLM Ops: Monitoring, Evaluating, and Updating GenAI Systems in Production 2026?
LLMs go viral fast, but they also hallucinate, drift, and…
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Ensemble Methods: Bagging, Random Forests, and Stacking Without the Jargon 2026?
Single models fail in unpredictable manners. Ensemble Methods combines multiple…
