Projects

A selection of projects focused on product analytics, applied machine learning, and decision-support systems.

I Help Businesses

What I Do

I work at the intersection of data and product, helping teams define metrics, explore data, and translate insights into decisions that shape product direction.

1. Product Analytics & Growth

Designed a product analytics framework (event taxonomy, funnel KPIs, dashboards) to track user engagement and support growth decisions in an early-stage startup environment. Defined activation and conversion metrics, enabling structured analysis of user behavior and clearer prioritization of growth initiatives. Focus: product metrics, funnel analysis, decision support

2. AI Systems for Business Impact

Designed a multi-agent AI system to transform unstructured educational data into structured, decision-ready outputs. Built a RAG-based pipeline for curriculum alignment and insight generation, with a focus on interpretability and real-world usability. Focus: applied AI systems, data pipelines, decision support

Lead Conversion & Growth

Analyzed multi-year marketing and referral data to identify drivers of lead conversion. Translated analytical outputs into operational recommendations (e.g., response time improvements, consultation flow changes) to improve conversion outcomes. Focus: business impact, feature engineering, stakeholder translation

4. Automated Classification for Efficiency

Built an end-to-end pipeline combining image preprocessing, OCR, and rule-based classification to automate difficulty labeling. Reduced manual effort and improved consistency in instructional planning workflows. Focus: applied ML pipelines, computer vision, operational efficiency

5. Clustering to Inform Strategy

Applied unsupervised learning and visualization to identify patterns in student pathways and surface inequities. Communicated findings to non-technical stakeholders to support targeted interventions. Focus: pattern discovery, stakeholder communication

6. Data Science for Learning Systems

Developed predictive models and dashboards to support decision-making in education-focused environments. Focused on interpretability and aligning outputs with real user needs. Focus: modeling, visualization, decision support