As enterprise ML and data science strategist charged with leading a Data Science COE and the AI Community of Practice. Infuse ML-driven intelligence to drive revenue and productivity gains in core products and processes across retail domains such as omni-channel, merchandising, stores, supply chain and inventory planning, customer, marketing, and digital, professionals and services. Oversee a 55+ member team in maturing data science capabilities and delivering products and solutions at scale using machine learning and statistics. Key Achievements♦ Realized significant increase in annual revenue and margin improvements, and productivity or cost savings by building AI products and capabilities.♦ Captured incremental revenue and reduction in unplanned inventory through improved assortment, space and vendor productivity including a complex demand transfer model.♦ Introduced computer vision solutions into stores improving asset protection, labor planning, product replenishment, and uncovering opportunities to enhance customer experience and associate productivity, ♦ Achieved high revenue impact through forecasting models to predict demand at item level, customer promise, purchase order, ETA and network flow, severe weather inventory, etc.♦ Developed an omni-channel text analytics platform and customer signals suite to provide insights on website chatbot and human agent support, product safety issues, product returns, and delivery.♦ Captured revenue gains and cost savings by productionizing and advancing customer identity resolution and transaction stitching. ♦ Grew on-site product description accuracy through a data quality engine that optimizes insights from text and image data.♦ Developed and productionized marketing attribution models to propel marketing effectiveness. ♦ Infused decision intelligence across business scorecard products for enterprise, retail stores, digital and vendor management.

At this time, I led a 25-member inventory management data science team. Advanced data science capabilities transforming methodology from rule-based algorithms to ML models for sizing and inventory allocation. Drove performance and engagement improvements through advancement of tools, processes and establishment of personal and team goals. Initially hired to build and manage 10 global team members in customer, marketing and product data science, successfully revitalizing a struggling cloud migration project and delivering within 3 months. Streamlined models in production and improved predictive analytics capabilities through the application of ML, Deep Learning, Simulation, and AI processes in an agile development framework. Key Achievements♦ Introduced and advanced models to inform website personalization, marketing optimization, customer lifetime value prediction, customer segmentation and purchase/churn propensities, per-store traffic and line optimization.♦ Migrated 40+ production models from on-premise to the cloud. Delivered a 98% efficiency gain by rewriting data and ML model pipelines and onboarding to Databricks platform. ♦ Centralized data and analytics practices through introduction of best practices for knowledge sharing and democratization.♦ Enabled onboarding of Customer Data Platform with real-time customer and marketing model development and production for marketing personalization and measurement.

I was brought on board to formalize data science vision and create and lead the data science COE. Collaborated with executive stakeholders to create data strategy and roadmap, as well as implement data science capabilities and technology infrastructure. Identified and led data science initiatives in marketing, sales and product innovation. Developed ML-enabled capabilities around real-time advertising bidding optimization, recipe and product recommendation engines, trend prediction, demand drivers prediction, customer lifetime value and retention prediction. Key Achievements♦ Realized an 8% increase in marketing effectiveness by advocating and securing a DSP partnership for creation and integration of an AI product to drive dynamic real-time audience-level ad targeting and pricing.♦ Grew conversions by 30% through the creation of recommendation systems for Hidden Valley and Burt’s Bees to increase sales.♦ Originated a customer lifetime value and retention model utilizing data from the customer loyalty program to inform targeted advertising strategy for Clorox’s highly engaged consumer group. ♦ Built LLM driven products to enable Burt’s Bees product innovation and call center for improved call routing and customer service. ♦ Steered marketing technology and data strategy by researching and recommending data solutions and partners with advanced capabilities to build impactful data models.

During this time, I led the advanced analytics and data science advisory to global clients in banking, insurance, healthcare and CPG. Directed global data science teams in product development and solution deployment. Created and led GenPact’s Innovation Lab to incubate data science strategy and capabilities expanding from Big Data and BI to build an end-to-end Big Data platform with AI application stack overlayed. Hired, onboarded and managed a 10-member team in defining, designing and deploying advanced ML and statistical applications across the domains of Insurance and Finance, Consumer Product Goods, HR Analytics, Healthcare and more.Key Achievements♦ Partnered with MIT to design an application for HR leaders to measure and improve employee productivity.♦ Developed, deployed and measured effectiveness of an application for Insurance Underwriters to prioritize loan applications leading to a 35% increase in effectiveness, improved insurance fraud model leveraging call interaction, drug adherence multi-class model for a pharmacy benefit management organization, CPG brand paid vs organic search cannibalization and data infusement models.♦ Advised a leading global insurance company on strategies for advancing its data science capabilities and technology infrastructure. ♦ Propelled GenPact’s data science and advanced ML capabilities through establishment and leadership of Genpact University.

I joined Citi to build an innovative stress testing framework for Citigroup global businesses. Developed country-specific product models to drive financial planning and risk management forecasts for Comprehensive Capital Analysis & Review (CCAR) submissions.

Worked as an intern in the Development Management Branch (DMB), Division of Public Administration and Development Management under the Department of Economic and Social Affairs, United Nations.Key Achievements♦ Provided research assistance in the development and creation of the "institution" phase of the United Nations Public Administration Country Studies (UNPACS) database, researching and analyzing the legal and institutional frameworks for 18 countries in Africa, Asia and Europe.♦ Researched and prepared case studies for the upcoming United Nations publication "Compendium of Capacity Building: Volume 1: Knowledge Sharing Programmes on Internet Governance."♦ Worked in various capacities on a project aimed to strengthen the capacity of selected developing countries to apply ICTs for engaging citizens through e-participation.♦ Assisted in the planning and organization of an upcoming expert group meeting on e-Participation to be held in Kazakhstan.

Participated in university’s highest budget committee with top financial administrators to discuss and implement key decisions regarding $400+ million budget. Served as Trustee of UC, Irvine Foundation with responsibility for managing and growing endowment, ensuring appropriate funds allocation, pursuing best governance practices, promoting university, and increasing philanthropy. Functioned as an active member of UC Council of Presidents working with UC Office of the President to analyze and address system-wide student concerns and issues while contributing to decisions affecting entire student body.Key Achievements♦ Elected as President of graduate and professional student body at AAU-member university with more than 25,000 students.♦ Served as Chair of Associated Graduate Students Council with over 40 elected members from university’s graduate and professional schools.♦ Personally spearheaded mental health campaign for over 5,000 graduate and professional students; met with reps from seven campus services and coordinated promotional events.

Researched and developed evaluation surveys as well as new international graduate student transition survey. Analyzed survey data, prepared accurate reports, delivered effective presentations, and offered valuable recommendations for campus-wide graduate and new international graduate student orientations and programs. Analyzed graduate students recruitment data to find trends and make recommendations for increasing effectiveness of recruitment efforts.Key Achievements♦ Wrote successful funding proposal for international graduate student transition program.♦ Instrumental in planning and executing Graduate Interconnect Peer Mentoring Program involving 28 grad students mentoring all 430 incoming international graduate students.♦ Participated in planning team for two ’12-’13 academic year orientations for approximately 950 incoming graduate students.

Served as Board Member of UC Student Association representing over 222,000 students. Functioned as Vice Chair of Graduate and Professional Committee. Played key role in multiple higher education initiatives and campaigns at state and national levels.Key Achievements♦ Participated in advocacy and planning of UC system-wide Graduate Student Health Insurance Policy and Bill of Rights.

Assisted in graduate and undergraduate courses including Probability and Statistics, Applied Econometrics, Econometric Theory, Labor Economics, Microeconomics, and Macroeconomics. Delivered classroom presentations and provided extensive one-on-one mentoring.

Instructed upper-division graduate course, Applied Econometrics I. Responsible for designing course syllabus, writing and conducting topic presentations, creating assignments, and preparing examinations. Effectively taught current econometric applications using EViews.

Completed research study and presented report on econometrics project entitled, “Benefits of Bootstrap Confidence Bands for Inference on Derived Functions of Parameters.”