Certificates and completed courses:
- Datacamp - Deep Leaning in Python Track | Oct 2022
- Datacamp - Machine Learning Scientist with Python Track | Oct 2022
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DeepLearning.AI - Deep Learning Certificate | Sept 2022
- Datacamp - SQL Fundamentals Track | July 2022
- Datacamp - Data Science with Python Track | June 2022
- IBM - Data Science Professional Certificate | June 2022
Projects:
These projects were completed prior to me starting my position at Regions Bank in 2023. I explored some core data science topics, going deeper into NLP techniques, and I participated in several Kaggle competitions.
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Who said it? Labour or Conservative.
A deep learning model that predicts whether a speech by a UK MP was given by a Labour or Conservative politician. I created the dataset and shared it on Kaggle, built the model with Tensorflow, then deployed it with TensorFlowJS.
See the two Github repositories: model building and model deployment. Read the blog article.
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Forage Virtual Intership - British Airways
Part 1: Analysis of customer reviews. These were scraped and processed. Then sentiment analysis and topic modelling was performed. Report.
Part 2: Predictive modelling of customer behaviour. Data of 50,000 flight searches were analyzed to determine features that are important in determining whether a booking is completed or not. Report.
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Iowa House Prices:
Predicting house prices using XGBoost.
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Tabular playground - clustering:
Challenge description: "In this challenge, you are given a dataset where each row belongs to a particular cluster. Your job is to predict the cluster each row belongs to. You are not given any training data, and you are not told how many clusters are found in the ground truth labels."