Aug 2022 – Oct 2024 · 2 yrs 2 mos · Bellevue, Washington, United States · On-site

• Supply Chain Optimization Technologies SCOT Optimal Sourcing Systems (OSS) Inbound Signal, Visibility and Scheduling (ISVS) Manage team of Scientists, Business Intelligence Engineers and Product Managers. Responsible for providing science solutions to optimize Amazon's inbound system through machine learning, optimization, econometrics and analytics. Build machine learning models to forecast inbound shipping signals to improve our visibility of the supply chain from purchase order creation to receive; Build optimization models to schedule and prioritize shipments to better meet customer demand; partner with product and software development team to deep dive and build science and analytics at scale.

May 2020 – Oct 2022 · 2 yrs 5 mos · Redmond, Washington, United States

• Lead Data Science team @ Microsoft Azure Edge and Platform (part of Core Operating System) team comprised of Senior Data Scientists and Software Engineers. Reporting to Partner Director of Software Engineering and Data Insights.
• Projects involve building innovative Telemetry Solution for Edge and IoT systems, ML based Zero Trust Security solutions for IoT/Edge compute devices on Linux OS security/hardening, Build fullstack solutions to improve AI/ML Model Robustness and Defense against AI/ML model attacks. Innovative solutions to improve Windows Telemetry. Build Enterprise intelligent NLP based chatbot solutions for Azure Incident triage and enrichment that includes classifiers, summarization, node crash prediction and QnA service. Datalake and Delta Lake development strategy including service CI/CD. Build Hyper-personalization AI based Intent Engine for Operating Systems and Security. Growth Analytics for Azure Edge and IoT customer engagement

Apr 2017 – May 2020 · 3 yrs 1 mo · Cupertino, California

• Apple Technology and Engineering team that relates to iOS Power, Battery and Control Systems. Application of Big Data and Machine Learning / AI techniques to build single source of truth and data center of excellence for power and battery performance/quality related data at Apple that includes strategy, partnerships and building /mentoring team of analysts and data scientists. Hands on Manager.

Jun 2014 – Apr 2017 · 2 yrs 10 mos · Cupertino, California

• Identified product problems and strengths and collected data on the customer experience. End to End data infrastructure and reporting layer development at petabyte scale. Rapid adhoc reporting and deployment of big data architecture and implementation of data science techniques for product diagnostics data for device usage model development across iPhone installed base. Driving change across Apple service channels with cutting edge data science and big data engineering. ($300 million capital project)

Jun 2011 – May 2014 · 2 yrs 11 mos · Cupertino, California

• Enhance analytical reach into iPod/iPhone service dynamics and product quality.
• Analyzing the performance of key business metrics, e.g. warranty return rate, repair turn-around-time, fraud detection, customer satisfaction
• Responsible for Warranty forecasting and predictive analytics for all iOS product ($3B warranty accrual forecasting).
• Improve the accuracy of warranty forecasts, data integrity, and scaling the team's analytical capabilities.
• Building consensus across Apple Operations/Engineering/Marketing/Legal and securing buy-in on adopting new strategies to improving service processes at Apple.
• Work with business process re-engineering on implementing key enterprise IT/supply chain projects to scale the speed and quality of services

Apr 2008 – Jun 2011 · 3 yrs 2 mos · San Jose, CA

• Develop analytical and computational tools to track sensitivity of IMOD panel yields to MEMS process and design variables.
• Determine the specification and tolerances for the MEMS manufacturing process for achieving a desired yield / performance target.
• Develop yield analysis (Correlation, curve fitting, regression analysis etc) & device characterization methods for IMOD panel technology.
• Perform panel yield analysis during development stages based on data from the foundry and the development fab.
• Develop yield metrics and monitor trends of actual yield and process capability to yield targets during early stages of technology development.
• Track and analyze process yield and recommend technological options for improving production yield and outgoing quality.
• Collaborate with systems engineers to ensure accuracy of forecasted yield and other related parameters.

Dec 2005 – Mar 2008 · 2 yrs 3 mos · Greater Boston Area

• Photonic Lattice Based high brightness Light Emitting Diodes (LED) Manufacturing Operations. (MIT Start-up)
• Statistical Consultant for all the statistical analysis and reporting needs across organization.
• Monitored probe yields, analyze low yielding lots, and correlate yield data to process histories to understand the important factors influencing yield.
• Responsible for profiling yield limiting factors and working with the manufacturing engineers to eliminate yield problems. Performed yield analysis and outgoing quality modeling for Corporate Quality.
• Established statistical methods programs for product line yield improvement, wafer selection, yield analysis, test reduction and guard banding.

Jun 2004 – Dec 2005 · 1 yr 6 mos

• Under the Hood Plastic Automotive Parts Division (Ford)
• Customer Specific SPC, Capability/ Reliability Data Analysis.
• Designing and executing experiments to make part specific process more robust and repeatable.
• Multivariate Statistics to analyze multi dimensional data to establish correlation between process parameters and product attributes.
• Reduced scrap rate by 60% at Cure in place gasket (CIPG) lines using statistical design of experiments.
• Developing PFMEA, PCP Documentation, Interfacing external customers, including trips to customer facilities to resolve quality issues.

Sep 2002 – Aug 2003 · 11 mos

• Powder Metal Operations, Abrasive Machining and Deburring lines.
• Solved 80% of corrosion problems using statistical experimental design approach, humidity chamber
• tests and dipping station automation.
• Labor cost reduction, conducted plant wide time & work study projects for operator efficiency, output
• capacity estimation, m/c cycle time estimation and optimization, product & process flow design, plant
• layout modifications for new m/c placement.

Jul 2001 – Feb 2002 · 7 mos

• Intelligent Systems and Diagnostics Division
• Conducted Real-time simulation of current and voltage behavior for industrial power-supplies used for remanufacturing feasibility study and useful life estimation, Test fixturing and execution of inverter-multiplexure circuit using Lab-view Virtual Instruments connecting 10 Power-supply units (PSU).
• Random number generation and Matlab controls hardware used for switching of power supplies, data acquisition was done using Lab-view 6 VI.

Jun 1999 – Mar 2000 · 9 mos

• Nuclear Power Plant Equipment Fabrication Group
• Designed fixtures and lifting lugs for logistics systems for reactors. Literature review and research
• project into non-conventional forming processes to fabricate dishends and domes for various applications
• Designed database to manage of 32,000 parts/ 24 subassemblies for steam generators.
• Designed Punch and Die for hot forming of Dish-ends.
• Application of six-sigma technique for classifying fabrication operations for welding of inconel tubes to
• endshield of calendria tube.