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πŸ’« About Me:

As a data scientist with a passion for statistics and mathematics, I leverage my skills in Python, POSTGRESQL, R and excel to drive innovation in the field of machine learning and artificial intelligence. Proficient in Microsoft Power Apps, I constantly strive to improve my expertise in data analysis and visualization.
In my free time, I nurture my love for writing by exploring various research topics and authoring insightful papers. Alongside, I invest in personal growth by reading self-help books and seeking new learning opportunities.

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πŸ’» Tech Stack:

Python R Scala Shell Script AWS Apache Airflow Postgres PyTorch NumPy Pandas

πŸ“Š GitHub Stats:



πŸ” Top Contributed Repo

Qudus Abolade's Projects

bcg-project-powerco icon bcg-project-powerco

PowerCo has had declining profits due to significant customer churn. We have been engaged to drive churn reduction within their Small & Medium Enterprise (SME) customers.

fake-news-classifier icon fake-news-classifier

Create a fake news classifier, which can differentiate reliable news from the unreliable ones.

landmark-classification---tagging-for-social-media icon landmark-classification---tagging-for-social-media

Photo sharing and storage services benefit from location data attached to uploaded photos. However, many photos lack location metadata, making it challenging to enhance user experiences. This project addresses the issue by automatically predicting image locations through landmark classification.

ml-workflow-for-scones-unlimited-on-amazon-sagemaker icon ml-workflow-for-scones-unlimited-on-amazon-sagemaker

Amazon SageMaker-based workflow for Scones Unlimited, featuring an image classification model to distinguish bicycles from motorcycles. The project covers data staging, model training, Lambda functions, and AWS Step Functions for orchestration. Follow the provided notebook for a complete guide on setup, execution in an AWS SageMaker Environment.

udacity-mini-project-mean-normalization-and-data-separation icon udacity-mini-project-mean-normalization-and-data-separation

In this mini project, I will be performing a different kind of feature scaling known as *mean normalization*. Mean normalization will scale the data, but instead of making the values be between 0 and 1, it will distribute the values evenly in some small interval around zero.

udacity-mini-project-statistics-from-stock-data icon udacity-mini-project-statistics-from-stock-data

In this lab I will load stock data into a Pandas Dataframe and calculate some statistics on it. I will be working with stock data from Google, Apple, and Amazon. All the stock data was downloaded from yahoo finance in CSV format.

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