A web application to find patients, build cohorts and visualize health records
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Updated
Jul 2, 2024 - TypeScript
A web application to find patients, build cohorts and visualize health records
🫀 Webapp to explore cohorts metadata for the iCARE4CVD project
Here are some of my projects on different topics!
This project aims to identify and present the target personas for a new Marketing campaign.
This repo contains analysis performed for paper "A comparative patient-level prediction study in OMOP CDM – insights from study on synthetic data".
Segmenting customers based on their behavior and preferences
Segment customers based on their transaction performance similarities using business metrics (RFM & cohort analysis) and KMeans model.
Stata code for ACBS derivation and analysis on cognitive outcomes in NSHD, for paper: "Associations between midlife anticholinergic medication use and subsequent cognitive decline"
Project completed within the module "First project" of the Data Analyst course on the Karpov Courses platform
NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity
Когортный анализ и RFM анализ данных e-commerce.
This Cohort table sorts customers by when they made their first purchase and calculate the retention rate of each groups by checking how many of them keep buying over months.
Cohort Analysis performed on data to find any trends in user engagement based on different factors.
Here includes my SQL journey from beginning and any further progress
In this cohort analysis project, I harnessed the capabilities of several powerful Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to explore and derive insights from a substantial dataset comprising over 500,000 customers.
Autoregression model for predicting results on metrics and Cohort analysis.
This project implements cohort, RFM and Clustering based analyses to identify various customer segments of a retail business for developing group specific marketing strategies based on customer purchasing behaviours.
💻 Neste Projeto com Análise de Cohort dos Usuários, meu foco está em desvendar padrões através do comportamento dos usuários, registros de acesso e despesas. Exploro dados de janeiro de 2017 a dezembro de 2018, compreendendo os dados, pontos de conversão e dedicando identificar o valor do cliente para otimizar as despesas. 📈💡
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