Sir Seriki

About

Sir Seriki works in AI GTM & Growth and ML & data science, based in South Africa. Data Analytics Mercenary. Exploring the intersection between analytics & revenue operations. Google Enthusiast | Trainer | HubSpoter | #GeekNation | DC | Farmer. Public projects on GitHub include Gem-Stone-Neural-Network (A deep learning model that learns and predicts the price of gem stones based off its features), Movie-Recommender-System (This Machine learning algorithm will focus on providing a basic recommendation system by suggesting items…) and HubSpotDataEnrichment (This function makes an API call to the Apollo.io API to retrieve contact information based on a person's…), mostly written in Jupyter, R and Python.

Projects 6

• github.com

  Gem-Stone-Neural-Network

  A deep learning model that learns and predicts the price of gem stones based off its features.

• github.com

  Movie-Recommender-System

  This Machine learning algorithm will focus on providing a basic recommendation system by suggesting items that are most similar to a particular item, in this case, movies

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  HubSpotDataEnrichment

  This function makes an API call to the Apollo.io API to retrieve contact information based on a person's first name, last name, email, and domain. It then extracts the phone number from the API response and returns it through a callback function. This is then passed back into the HubSpot 'Phone' contact property using a custom coded workflow.

  github.com
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  RFM-Analysis

  The RFM analysis optimizes revenue operations using HubSpot. It segments customers for strategic decision-making. Leverage results for cross-selling, customer support triage, and re-engagement email campaigns, maximizing revenue and customer retention.

  github.com
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  Bike-Share-Case-Study

  This is a capstone project for the Google Analytics professional certification

  github.com
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  911-Calls-Project

  Data analysis and visualization of 911 calls

  github.com