I will do data analysis, visualization, econometric, bi dashboard, predictive modeling

I build robust econometric and predictive models (timeseries and regression) that convert your historical data into reliable forecasts and clear, actionable insights. Deliverables include cleaned data, reproducible R/Python code, model selection and diagnostics (residuals, goodnessoffit, backtesting), visualized forecasts with confidence intervals, and a concise PDF report that explains results in business terms. I handle feature engineering, seasonality and holiday adjustments, exogenous variables, and scenario / whatif simulations so forecasts are realistic and decisionready.

What youll get: a validated model (ARIMA/ETS/Prophet, regression, or ensemble), performance metrics, forecast tables and charts, interpretation of key drivers, and deployment guidance or a recorded walkthrough if requested. Packages scale from a quick exploratory model to a full productionready forecasting system with backtesting and deployment recommendations.

Who its for: finance teams, operations planners, researchers, and product managers who need trustworthy projections for budgeting, demand planning, or strategic decisions.