A web application to find patients, build cohorts and visualize health records
A fast python implementation of the SimHash algorithm.
Runs CQL phenotype definitions against an OMOP repository
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.
Understanding the association between self-reported healthcare disruption due to COVID-19 and avoidable hospitalisation
Analytics MCP server for Clamp Analytics. Gives Claude, Cursor, VS Code, Windsurf, and Cline tools for traffic, pages, events, revenue, errors, funnels, cohorts, and alerts. Stdio + hosted Remote MCP.
Table of Contents
example of tasks for job applying
Comparing the burden of long COVID in the community as measured by self-report and electronic health records: a study by the CONVALESCENCE consortium
Cohorts Analyze_and_Predictions Ideas
Ephemerant is a Zero-Knowledge primitive for connecting users in ephemeral cohorts based on common behaviour. It is anonymous, opt-in, and fully-decentralized.
A high-performance, semantic landing page implementation of the Alliatus design, optimized for sub-second LCP, zero layout shifts, and perfect Core Web Vitals scoring.
Cohort CAC/LTV model for GTM analytics. DuckDB SQL executed from Python. Exports Excel + PNG for decision-ready unit economics.
Matplotlib cohorts & utilization: bookings vs re-book rate, service mix, and weekday×hour heatmap. Includes 30-day rebook cohort chart.
Data/UX analytics portfolio — A/B testing, cohorts, KPIs, churn. Python · SQL · Power BI.
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