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The goal of this project is to determine how many NEW signups, demo requests, trials, paid workspaces, and monthly recurring revenue are being driven by a particular UTM campaign, medium, and/or source over any given time frame. A first-touch attribution model is preferred but other approaches are welcome.

dbt-market-attribution's Introduction

Analytics Engineer & Technical Writer from Nigeria looking for remote/relocation opportunities ๐Ÿ‘จโ€๐Ÿ’ป

๐Ÿ™‹โ€โ™‚๏ธ About Me

- ๐ŸŒฑ Iโ€™m currently learning more about Lightdash, an open-source alternative to Looker

- ๐Ÿ”ญ Iโ€™m currently need help working on a project about Monthly Recurring Revenue and a few related metrics

- ๐Ÿ‘ฏ Iโ€™m looking to collaborate on dbt-related or analytics engineering opportunities

- ๐Ÿค Iโ€™m looking for help with Analytics Engineering or Data Analyst roles

- ๐Ÿ’ฌ Ask me about Soft skills, SQL, dbt

- ๐Ÿ“ซ How to reach me: [email protected]

- ๐Ÿ‘จโ€๐Ÿ’ป All of my articles on data related topics are available @ : https://docs.google.com/spreadsheets/d/1B8ydCodl8Tzoc5n0_pMJo86yjAG32QJFgE0PeIKm-Ns/edit?usp=sharing

- โšก Fun fact: I love dbt

Languages & Tools

- business intelligence: Mode, Tableau, Power BI, Lightdash

- data transformation and analysis: dbt, Jinja, Pandas, SQL,

- databases: Postgres, mySql, Microsoft SQL Server, Google Big Query,

- version control: Git

- data observability: Metaplane

- machine learning: market basket analysis, supervised learning, unsupervised learning, recency frequency monetary analysis

Connect With Me

Twitter: @JoshOlufemi

LinkedIn: Joshua Olufemi

TopCoder: JoshuaSmart

dbt-market-attribution's People

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