Sylvan Road is a technology and data-driven asset management firm focused on single family rentals (SFR).I am building the Reporting and Analytics function to provide self-service enterprise reporting (PowerBI), actionable data-driven insights to optimize portfolio performance, increase net cap rate per asset and capitalize on our technology investment. I work collaboratively with Data Engineering to build and execute Sylvan Road's data strategy using data and process automation, hybrid cloud infrastructure, Artificial Intelligence (AI) and Machine Learning (ML).I lead a talented team of data & process engineering, data science, analytics/research and data visualization experts.

Led the consulting arm (30 Analytics Business Partners, Data Analysts and People Researchers) of Meta’s People Analytics team providing strategic insights to HR Business Partners for all business functions across the company, partnering with Mission Control, Research and People Data Solutions teams to deliver cohesive, impactful narratives for our stakeholders.● Launched HR Analytics Support Model for HR Business Partners and expanded model to the International HR team, in time for COO transition and to the Employee Relations team.● Implemented product and narrative reviews, standardization, and collaboration processes to increase productivity (+20%), efficiency (+25%) and measure the impact of our recommendations on the business.● Developed framework for impact analytics that connect people metrics to organizational and business North Star metrics.● Developed the talent (recruiting, career pathing and staffing) strategy for PAWS (240+ employees).● PAWS co-lead for People Analytics quarterly updates to the Meta Board of Directors.● Architected and launched the People Analytics Community at Meta, creating the first HR analytics guild in the company.

Led a team of 20 Analytics Business Partners supporting Meta's Recruiting organization with data-based insights including, recruiting hiring targets & progress to goals, annual recruiting strategy for Tech (Engineering), Business and Global Operations, recruiting narratives for the CEO, Board of Directors, Meta’s Executive Leadership Team, Head of HR, HR leaders and Engineering business leaders.My team partnered closely with Recruiting senior leaders to understand our stakeholders' priorities, articulate the strategic levers to deliver on the goals so we could quantify and monitor their impact on the business, calling out opportunities to de-risk, slow down or accelerate, as appropriate.

Applied Amazon design thinking to analytics to help AWS customers accelerate their analytics transformation and drive innovation. Latin America and Southeast US. ● Partnered to identify sales opportunities through increased adoption of services. ● Developed a segmentation approach to prioritize US SE/LATAM analytics portfolio.

Built the Sales Analytics function for HQ Sales to support HQ sales channel VPs with strategic insights to increase margins, de-risk business operations and drive sales excellence.● Drove 70% in productivity gain through implementation of ThoughtSpot (AI-powered search analytics) on AWS to accelerate our speed to insight, including project management, data architecture & modeling, communication plan, adoption strategy and training. Impact: real time answers during business reviews enabled by data at our fingertips.● Established People Analytics and Sales Incentives Analytics practices using consultative approach with sales channel leaders. Developed attribution methodology to to quantify performance lift attributable to incentives. Impact: Insights influenced field sales headcount strategy, budget allocation, territory planning and measure impact of sales-enablement tools on frontline productivity & performance.● Conducted cross-channel performance analyses across all lines of business including impact of COVID-19 on channel (retail, call center) and product performance, Cx & sales excellence.● Acted as liaison between sales org and Enterprise Business Intelligence team from ideation to data solutions, including business requirements, ad hoc analyses and prototyping data models and visualization.● Led the cross-channel sales analytics data strategy & technology portfolio; designed and implemented data architecture to support reporting and analytics needs, integrating sales performance, customer, HR and benchmark data.

Influenced the most critical sales channel (dotcom) to move 100% of its traffic to the digital platform using performance data (4x flowthrough rate, 2x customer retention, 20% higher revenue, 50% higher CLV). Other channels subsequently signed up. We proved, using data, that simplifying the business processes improved the customer experience.● Led a team of 10 people including data and process analysts, data solution architects and statisticians to provide reporting and analytics to the Business Process Management team.● Drove ruthless prioritization of product features through cross-functional design thinking sessions.● Designed and execute strategy to automate analytics workflow including data architecture, data governance, visualization and storytelling.

Built the HR Analytics function at HQ by providing data-based insights to key questions identified through stakeholding with HR and business partners at HQ and in the field. Findings & recommendations presented at HR Governance meetings. ● Conducted quantitative analyses on strategic HR challenges across the employee lifecycle, partnering with HR and business leaders including DEI analytics, compensation strategy, manager effectiveness and retention analytics.● Built HR analytics capability by managing tools (WorkForceAnalytics, HANA) including implementation, testing, validation, training, user administration, vendor management, branding, change management and communication. ● Consulted with senior HR leaders on their data and reporting needs.● Built a dynamic model to standardize shift differential pay across the organization, using requirements from field and HQ HR and operational leaders.

Co-teach introductory course titled Aligning Information Systems with Strategy (Masters in Analytics Program) with Dr. Murugan Anandarajan, Professor of MIS and Department Head, Management, Decision Sciences and MIS @ LeBow College of Business

● Strategic sourcing of laboratory assets for R&D division of $20B global pharmaceutical companyAnalyzed capital research equipment and service spending and developed implementation plans for value capture and change management.Project result: identified $13M savings opportunity in capital equipment purchase and service.● North America turnaround strategy for a $10B global beauty company. Analyzed consumer and sales force surveys to gain insights into buying and selling behaviors.Project result: identified strategic customer and sales force segments to target for growth.● Portfolio strategy for the cardiovascular unit of a $41B global pharmaceutical company.Analyzed historical prescription tracking data to understand physicians’ prescribing behavior across brand portfolio; analyzed survey data to create patient segmentation for each brand.Project result: developed short and long-term strategy upon patent expiry of blockbuster drug.

My Ph.D. thesis was the biological equivalent to the saying "Show me who your friends are and I will tell you who you are" with the nuance that in my case I was interested in what a protein was "doing" instead. At the time, a protein named cyclin E1 was known to be important in cancer growth but there was sparse knowledge on the specific signaling pathways it was involved in. My research focused on identifying novel protein partners of cyclin E1 in order to associate it with new signaling pathways. These protein partners were also potential targets for cancer treatments. In the process, I developed method to optimize protein analysis from mouse organs including data analysis to validate identification of candidate proteins. My research identified 4 novel cyclin E1 protein partners/complexes that implicated cyclin E1 in novel signaling pathways. Our findings were published in peer-reviewed scientific journals (see below).