{"id":19493287,"url":"https://github.com/marinossav/consultation_sample","last_synced_at":"2026-06-15T11:32:08.176Z","repository":{"id":248510174,"uuid":"828893496","full_name":"MarinosSav/Consultation_Sample","owner":"MarinosSav","description":"Here I provide a sample of one of my consultations. I was reached out to consult on how to approach a predictive model for customer churn for an investment banking company.","archived":false,"fork":false,"pushed_at":"2024-07-15T10:51:10.000Z","size":174,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-25T20:20:48.744Z","etag":null,"topics":["churn-prediction","consulting","financial-data","machine-learning","predictive-modelling"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MarinosSav.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-15T10:40:16.000Z","updated_at":"2024-07-29T12:59:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"0b9b3df2-fa02-47ba-9a84-5659f75e5a5c","html_url":"https://github.com/MarinosSav/Consultation_Sample","commit_stats":null,"previous_names":["marinossav/sample_consultation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MarinosSav/Consultation_Sample","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MarinosSav%2FConsultation_Sample","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MarinosSav%2FConsultation_Sample/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MarinosSav%2FConsultation_Sample/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MarinosSav%2FConsultation_Sample/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MarinosSav","download_url":"https://codeload.github.com/MarinosSav/Consultation_Sample/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MarinosSav%2FConsultation_Sample/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34358728,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-15T02:00:07.085Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["churn-prediction","consulting","financial-data","machine-learning","predictive-modelling"],"created_at":"2024-11-10T21:25:11.460Z","updated_at":"2026-06-15T11:32:08.150Z","avatar_url":"https://github.com/MarinosSav.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Sample Consultation: Predictive Customer Churn Model\nI was reached out to consult on how to approach a predictive model for customer churn. My client company is an app based invesment banking company and as such collects complex data based on financial transaction. The instructions delivered were to be understood by a software engineer with limited experience in machine learning and used to implement a new model from scratch. \n\nFor the report go here: https://github.com/MarinosSav/sample_consultation/blob/main/Report.ipynb\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarinossav%2Fconsultation_sample","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarinossav%2Fconsultation_sample","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarinossav%2Fconsultation_sample/lists"}