Responsible for revenue management, supply and operations planning (S&OP), and demand forecasting across ADI.

Revenue Manager: facilitate weekly S&OP revenue projections and manage end-of-quarter revenue execution - Coordinate with planning, finance, warehouse, customer service, and product line teams to consistently and successfully hit corporate quarterly investor earnings guidance revenue targets within $5M on a $1.8B per quarter basisProcess Change Manager: defined business requirements, led tool design, and oversaw all user training for implementation of new corporate demand forecasting system, simultaneously increasing granularity of forecasts and improving forecasting accuracy by over 15%Spearheaded new team for algorithmic forecasting, forecasting tool management, S&OP alignment, and forecast accuracy analytics - Launched corporate forecast accuracy analytics: defined and established corporate forecast accuracy metrics, restructured forecasting data architecture for storing forecast history to enable forecast accuracy analytics, designed and developed dashboard for forecast accuracy analysis and reporting

Transformed demand planning infrastructure, implementing new integrated ideology and demand segmentation algorithm based on products’ historic demand profiles and attributes to set products’ forecasting, safety stock, and manufacturing build strategies.Standardized reports and conducted ad-hoc analyses on bookings and shipments and their impact on operations.Designed and developed business intelligence dashboards used corporate-wide for: - Trending analysis of corporate ship-in and sell-through bookings and shipments - Analyzing delinquent backlog and projecting end-of-quarter overdues - Highlighting gaps between distribution orders, end customer demand, and distributors’ inventory - Linking demand signals to BOM components and their manufacturing resources and sitesManaged inventory exposure related to China-US trade war high-profile restricted entities; maintained exposure below $5M while increasing restricted entity revenue quarter-on-quarter from $26M to $46MDerived algorithm and automated setting of planning yields for low-runner products

- Held office hours and graded sets and quizzes for Caltech mechanical engineering class on thermodynamics

- Developed solutions for improving manufacturing processes for Fisher-Price, Hot Wheels, and other toys - Generated more than $600,000 of potential savings- Led cross-functional efforts between manufacturing plants and various supply chain functions

- Interned on the Venus Atmospheric and Surface Explorer (VASE) Discovery mission proposal team- Developed a model of the spacecraft and mission in SysML and defined the system interconnect

Full-Time Summer Undergraduate Research Fellow for Dr. George Djorgovski and Dr. Matthew GrahamCo-Author of paper published in the Monthly Notices of the Royal Astronomical Society: "A novel variability-based method for quasar selection: evidence for a rest frame ~54 day characteristic timescale"- Researched a new method of selecting of quasars through variability- Analyzed and tested selection algorithms in Python- Began the making of the largest quasar catalog selected by variability to date, from data collected from the Catalina Real-time Transient Survey