We build data-driven forecasting and analytics workflows that support supply & demand planning, inventory and capacity planning, and supply chain scheduling. Deliverables are practical, measurable, and easy to maintain.
Time-series forecasting, seasonality and promotions, and scenario analysis with transparent backtesting.
Insights and models for stock targets, service levels, and capacity constraints to support planning decisions.
Analytics for scheduling and allocation (e.g., production/fulfillment plans) aligned with operational constraints.
PythonS / SQL with documentationGoals, data sources, constraints, and success metrics.
Baseline forecasting + quick diagnostics to validate direction.
Refinement, feature engineering, robustness checks, and reporting.
Report, code/pipeline, and optional dashboard handoff.
Cosmos Data Consulting is a small, focused practice delivering analytics and predictive modeling for operations planning. We combine statistical modeling and machine learning with pragmatic implementation in Python and SQL.
Send a short note with your planning goal and what data you have (e.g., sales history, inventory snapshots, lead times, capacity constraints). We typically respond within 1–2 business days.
Email: karenhua0107@gmail.com