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Understand business problems and convert them to analytical use cases
Perform exploratory data analysis (EDA) and feature engineering
Build predictive models using ML techniques: regression, classification, clustering, time-series forecasting, NLP
Create scalable data pipelines and deploy models into production
Communicate insights with visually compelling dashboards and reports
Collaborate with data engineering & product teams on data architecture
Continuously monitor model performance and recalibrate when needed
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