akomarla / expsmoothing

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

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Semiconductors Operations research, supply chain forecast_demand Use time-series forecasting and vector similarity measures to forecast SKU-level SSD customer demand inventory_optimization Safety-stock optimization technique for SSD supplychain that challenges the traditional assumption that demand is distributed normally

Law & Policy Open data, government, judicial system ca_jails_covid_data Led data science and development efforts to create the only COVID-19 dataset for California's jails via FOIA requests (www.covidincustody.org) data_transparency_cpra Metrics to measure and visualize the transparency of govt. agencies in response to FOIA requests for COVID-19 data (www.covidincustody.org) resentencing_data_initiative Determine resentencing eligibility of nonviolent offenders in California's prisons (with the Three Strikes Project, Stanford School of Law)

Other Open source contributions ExpSmoothing Training and testing a model for exponential smoothing time-series forecasts

Acronyms:
ODM: Offshore Device/Design Manufacturer
SSD: Solid-State Drive
FOIA: Freedom of Information Act (or Public Records Act in California)