I am working in a consulting sector in the Windows and Devices Group specializing in the following broad areas:
• Optimizing Business Processes, Operations and Planning: I combine my years of expertise in Operations Research, Machine Learning and Data Science to identify the inefficiencies in business processes, enhance the current operations and to inform business planning based on the cost-performance trade-offs. This encompasses although is not limited to Workforce Planning and Prioritization,Team Restructuring, Shortening Product Cycle through enhancing product pipeline stages and parallelization, Data-Driven Planning for Scarce Resources based on identification of diminishing point of return.
• Product Enhancement through Feedback Cycle: I use Deep Learning and Predictive Analytics to model consumers' sentiment (rating) towards the product and to identify the implicit areas of inefficiencies in product. This closes the Product->Feedback Cycle resulting in incremental product improvements.
• KPI Definition and Mertic refinement: Designing key metrics that best capture business's performance, are sensitive to product changes and can be traced back to the telemetry data.
• Modeling Market Demand and Market Segmentation: I use novel Economic techniques such as Discrete Choice Modeling and advanced Machine Learning algorithms to model consumers' behavior (decision-making) in the market and model market's demand and consumers' price sensitivity towards products. I combine my years of research in clustering with consumer's and Enterprise data to identify best market segments that align with product planning.
I also serve as a reviewer for Machine Learning and Data Science conferences and journals MLADS and MSJAR.
