Analyst - Supply Chain - IT

- Lead and Build statistical models using historical demand data

- Generate forecast for New Items using like item modeling approach

- Collect data from multiple system using SQL/PLSQL

- Pre-process Data - Outlier detection/removal, Univariate, multivariate, robust regression, data smoothening

- Identify Pattern in data- Trend, Seasonality and noise decomposition

- Perform descriptive & diagnostics analysis on historical demand & shipment data

- Cluster & Classify data using different machine learning methods

- Forecast Visual analytics, scenario planning, model diagnostics

- Regression methods- Correlation, ANOVA, Chi squared, Dimensionality reduction, r squared, adjusted r squared, p value, composite models

- Build & implement advance capabilities using machine learning techniques into forecasting framework to enhance accuracy and scalability

- Clustering methods- Distance matrix, Dimensionality reduction, K-means, DBSCAN

- Build solution framework for segmented demand planning