Michael Silger Email & Phone Number

Palo Alto, Ca, Us

Santa Cruz, California, Us

Start data science team under Poly IT department to service data science initiatives. Develop E2E solutions to improve processes beyond 1-off solutions. Partner with stakeholders to understand problem statements, develop requirements, and deliver solutions. Help drive team strategy, vision and partner with other teams (HR, sales, finance, & pricing) to provide solutions. Mentor junior level roles.Pricing analytics initiatives: - Developed and maintained different models to assist in sale's quote generating process - Automated user website engagement metrics to monitor model adoption rates - Develop a solution to drive product pricing strategiesDemand planning initiatives: - Developed a solution to forecast demand using hierarchical time series in AZURE - Developed methodology to unconstrain demand affected by COVID-19Finance initiatives: - Automated month/quarter close activities to reduce number of days required to close - Developed models to predict claim rates and give a more accurate picture of quarter end landing

Freelance for companies with varying size and maturity. Directly work with CEOs & CTOs to scope their projects. Develop code for a cloud-based tax audit solution start-up using Databricks and Azure.• Automated supply-chain analytics (e.g., stock re-order rate, on-hand inventory, safety stock, etc.) using Power BI & Python for Miami based brewery• Hired dev team to build Azure platform to host supply-chain analytics code for a cloud-based solution• Web scraped 200 pages of data to identify business & employee locations and Twitter for tax reformations as well as developed an algorithm for dissecting tax codes for 50 states• Developed process for a more user-friendly sales analytics platform (e.g., revenue, unique users, re-orders, etc.) with Amazon marketplace reseller that grosses over $1MM and ships 6,000 units/mth

Vevey, Ch

Build a data science team from scratch in Nestle’s leading eCommerce division. Report to the VP of eCommerce and work directly with CTO and CMO of Nestle Japan as well as CTO of Nestle. Partner with teams within Nestle Japan to understand problem statements, deliver solutions and advocate data science (DS) to increase DS literacy and maturity. Educate and mentor team members regarding data science and define best practices.Led our call center cost optimization project using IBM Watson chatbot - 3% yearly savings in call center costs - 2% cross-sell rate using recommendation algorithmsReport automation for entire eComm division - 10 hrs/wk w/ additional 32 hrs/mth saved - Linked output to PBI using AzureAd-hoc services provided: - Predicted customer churn - Predicted product upsell - A/B testing for eComm coupon redemption - Customer LTV

St. Louis, Mo, Us

Developed system architecture for system integration of existing SAS to new SAS demand planning module

St. Louis, Mo, Us

Created / maintained monthly predictive models - Every point of accuracy increase saves 5.2 million dollarsDesigned, built, deployed and maintained programs for day-to-day and future operations

Master Of Arts, Statistics

Master Of Arts (M.A.), Statistics