📈 ARIMA Forecasting
Time-series forecasting across multiple sectors.
Statistical modeling, forecasting, experimentation, causal inference, NLP, and predictive analytics — with an emphasis on evidence-based reasoning.
A curated selection of statistical analysis, NLP pipelines, forecasting models, A/B testing, and real-world predictive modeling projects.
Time-series forecasting across multiple sectors.
Experiment design, significance testing, and lift analysis.
Unsupervised topic extraction using LDA + embeddings.
Linear, Ridge, Lasso, ElasticNet, and tree-based regressors.
Confidence intervals, hypothesis testing, ANOVA.
Text preprocessing → embedding → classifier pipeline.
Risk curves, hazard rates, churn probability over time.