Experience

I lead a team of data scientists to optimize ad targeting, lead qualification, budget allocation, and broader marketing motions.

Under my leadership, we’ve moved our SLA’d on-call to a PagerDuty-based primary-secondary rotation, reducing team exhaust as well as improving response and recovery time.

I quickly identified opportunities to improve core metrics to align better with our evolving business needs, presented these to C-Suite members, and gained approval for this major initiative.

Additionally, I spearheaded the Stock and Flow Revenue modeling, working closely with the C-Suite, empowering Asana to trace and improve its ARR.

Crafted the initial product roadmap, defined robust financial models, and tapped into new market opportunities, establishing a foundation for a cutting-edge asynchronous communication platform for global teams.

Led a strategic pivot transforming a pre-product market fit proof of concept into a prosumer-grade collaboration platform, fueled by customer insights and emerging market demands.

Directed user experience research, designed the UI/UX using Figma, and spearheaded the front-end development using TypeScript, HTML, and CSS, enhancing product usability and customer satisfaction.

Developed numerous API endpoints utilizing AWS technologies such as Lambda and API Gateway, significantly improving data integration and backend functionality for the web application.

Led a team of product managers in refining the product roadmap and validating user journeys, enhancing product alignment with market needs and corporate vision.

Developed a strategic vision for customer-facing, click-to-activate products, leveraging the company's flagship data architecture to drive technical innovation and customer value.

As Director of Data Science, Platform Core…

Coordinated with legal, security, and data management leaders to navigate PHI, PII, and HIPPA compliance for a new market product, establishing a robust framework for data privacy and security.

Designed and implemented a comprehensive hiring and onboarding process for data professionals, optimizing team capabilities and aligning with budgetary constraints.

Led the development of a data model for a new three-sided market product, balancing real-time data access needs and driving foundational data strategies.

Expanded a small team from four to 28, successfully mentoring a team member into a management role and transitioning another into a product management position.

Engaged regularly with Fortune 500 company leaders, facilitating their adoption of proprietary data for strategic insights and advanced analytics.

Formulated and executed a strategic vision for a new vertical, transforming a reactive analytics team into a proactive, AI-driven core operation.

Spearheaded the development of a scalable alerting platform, which delivers customized notifications to stakeholders regarding critical data issues.

Led the design and development of a pioneering programmatic tool that evaluates the impact of backend changes on client-facing products.

As Manager of Data Science…

Co-developed a proof-of-concept for a microservice that scores data quality by user, supporting advanced panel enrichment.

Identified efficiencies and led the creation of a standardized suite of tools to streamline data qualification and enrichment processes.

Directed forensic data analyses, identifying root causes of issues across the data processing pipeline while managing stakeholder expectations.

Established and led a new Executive Programs division, successfully identifying a market opportunity for non-technical AI training for C-suite executives, resulting in the development and launch of specialized data literacy programs.

Conducted client needs assessments with Fortune 500 companies, leading to the customization and tailoring of curriculums that directly addressed executive needs in data science and AI strategy.

As Senior Data Scientist

Designed and developed comprehensive data science courses, covering topics from management to artificial intelligence, which enhanced practical and strategic data science understanding across the company.

Led cross-functional teams in the delivery of international training sessions in Machine Learning, Spark, and python.

Implemented stochastic process simulations for real-time risk mitigation, enhancing job security for compliant couriers while effectively identifying and penalizing fraudulent activities.

Developed an automated analytics service that decreased promotion-driven cannibalization of organic demand, significantly increasing marketing efficiency.

Led a core pricing overhaul by applying classification and regression methods to uncover key drivers of customer lifetime value (LTV) , fostering the adoption of a transparent pricing model.

Identified high churn as a critical factor in low LTV and determined that early delivery fees were a significant predictor; influenced strategic shift away from pure dynamic pricing to reduce customer churn and optimize promotion spending.

Discovered and resolved a device-specific bug in the Android app that hindered purchase completions, enabling the recapture of high LTV customers and aligning spending levels with those of iOS users.

Pioneered the data science initiative, enhancing data-driven decision-making across the largest non- profit data warehouse.

Led thought leadership in data science, spearheading industry adoption through influential speaking engagements, strategic partner meetings, and insightful blog posts.

Developed a revenue model identifier using machine learning on time-series data, effectively exposing high-risk financial structures within NGOs and influencing industry standards.

Uncovered and resolved a critical data pipeline bug using forensic analysis techniques, safeguarding data integrity and operational continuity.

Forged a strategic client partnership that maintained the organization's core competitive edge by developing a novel data aggregation engine.