Ayomide Aderonmu
Data Analyst | Data Engineer

An automated data pipeline that retrieves time series cryptocurrency data from the CoinCap API, processes and transforms it for analysis, and presents key metrics on a near-real-time* dashboard.
Tools: Terraform, Google Compute Engine, BigQuery, Airflow, DBT, Looker Studio

Analyzed FitBit Fitness Tracker Data to gain insights into how consumers are using the FitBit product and discover trends and insights to inform Bellabeat marketing strategy

Built a machine learning model capable of predicting users’ responses to marketing campaigns based on the features in the provided dataset by the sapa.com data engineer

developed an ML model to predict the likelihood of each customer in a telco “churning,” i.e. becoming inactive and not making any transactions for 90 days. This solution helps the company to better serve her customers by understanding which customers are at risk of leaving. 

Here I scraped some #endsars tweets from Twitter using the open-source twitter scraper, Twint. I performed sentiment analysis of the tweets and created some visuals.

In October 2015, a data journalist named Walt Hickey analyzed movie ratings data and found strong evidence to suggest that Fandango's rating system was biased and dishonest. In this project, l analyzed more recent movie ratings data to determine whether there has been any change in Fandango's rating system after Hickey's analysis. 

In this project, I played the role of data analyst working for a company whose stakeholders wanted to understand why certain group of employees were exiting the firm

Customer Churn Analysis

Sales Performance Dashboard

Hotel Bookings Dashboard

StackOverflow Survey Data Analysis