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Build a recommendation engine solution, i.e. a solution that will automatically recommend a product to a customer based on their purchase history.
implicit-method-recommendation-engine's Introduction
![](https://camo.githubusercontent.com/4cb9b98860a01e6a93c5b3eb5fd5a0ae409731635562552752b75ff17b4b2167/68747470733a2f2f6d656469612e67697068792e636f6d2f6d656469612f4d3967624264396e6244724f5475314d71782f67697068792e676966)
Analytics Engineer & Technical Writer from Nigeria looking for remote/relocation opportunities ๐จโ๐ป
- ๐ฑ Iโm currently learning more about Lightdash, an open-source alternative to Looker
- ๐ญ Iโm currently need help working on a project about Monthly Recurring Revenue and a few related metrics
- ๐ฏ Iโm looking to collaborate on dbt-related or analytics engineering opportunities
- ๐ค Iโm looking for help with Analytics Engineering or Data Analyst roles
- ๐ฌ Ask me about Soft skills, SQL, dbt
- โก Fun fact: I love dbt
- business intelligence: Mode, Tableau, Power BI, Lightdash
- data transformation and analysis: dbt, Jinja, Pandas, SQL,
- databases: Postgres, mySql, Microsoft SQL Server, Google Big Query,
- data observability: Metaplane
- machine learning: market basket analysis, supervised learning, unsupervised learning, recency frequency monetary analysis
Twitter: @JoshOlufemi
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