Product Data Scientist focused on growth

I partner with product, engineering, and leadership teams to define metrics, design experiments, and translate ambiguous data into responsible product decisions; from early-stage products to systems scaling to tens of thousands of users.

I bring both technical depth and cross-functional fluency: honed by a decade of experience interpreting systems data, communicating with diverse stakeholders, and building production pipelines.

01

Good Planninag

Define

I work with stakeholders to clarify ambiguous product questions and translate them into measurable problems. This includes identifying success metrics, defining user journeys, and aligning on decision criteria early.

02

Problem Solving

Build

I design event tracking, metrics, and dashboards that make product performance observable. This includes funnel definition, cohort analysis, and ensuring data quality for reliable decision-making.

03

Deliver

Inform

I translate analysis into clear recommendations for product, growth, and strategy. My focus is on helping teams decide what to prioritize, what to test, and how to iterate effectively.

I Help Businesses

From Data to Product Decisions

I’ve worked across analytics, data science, and product-focused roles, from consulting and research to founding-team environments.

Across these experiences, a consistent theme has been using data to reduce ambiguity, improve decision-making, and guide product direction.

Cross-functional collaboration

I regularly partner with product managers, engineers, and leadership to align on metrics, validate assumptions, and translate insights into action.

Selected Work

Product Analytics & Growth

Built a product analytics framework (event taxonomy, funnel KPIs, dashboards) to track user engagement and support growth decisions.

AI Systems for Business Impact

Designed a multi-agent AI system that transforms unstructured educational data into structured, grant-ready outputs. Includes RAG-based curriculum alignment and privacy-preserving data pipelines.

Data Science for Learning Systems

Developed predictive models and dashboards (Tableau and Power BI) to improve student outcomes and support decision-making in education-focused environments.

Lead Conversion & Growth

Analyzed multi-year marketing and referral data to identify drivers of lead conversion. Translated model outputs into operational recommendations to improve response time and consultation completion.

Automated Classification for Efficiency

Built an end-to-end pipeline combining image preprocessing, OCR, and classification to automate difficulty labeling. Reduced manual effort and improved consistency in instructional planning.

Clustering to Inform Strategy

Applied unsupervised learning and visualization to identify patterns in student trajectories and surface inequities. Communicated insights to non-technical stakeholders to inform targeted interventions.

How I Work with Data

Product & Growth Analytics

Funnel analysis, cohort analysis, KPI design, activation and conversion optimization

Metric Design & KPI Definition

Funnel Analysis & User Behavior

Experimentation & Evaluation

Data Instrumentation & SQL