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1. US_Election_NLP US_Election_NLP Public

   This was my first NLP team project. We used Twint to scrape Twitter information and used this data to perform Sentiment/Emotion Analysis for the Presidential candidates in the last four elections. …

   Jupyter Notebook

2. Big_Data Big_Data Public

   This is a Big Data project using AWS, pyspark-sql, pyspark and Google Collaboratory to determine if there is any bias in the reviews of vine and non-vine reviewers on Amazon.

3. Cryptocurrencies Cryptocurrencies Public

   Analyzing the performance of Cryptocurrencies using Unsupervised Machine Learning methods such as Principal Component Analysis (PCA) and KMeans Clustering. Data visualizations were executed using H…

   Jupyter Notebook

4. Movies-ETL Movies-ETL Public

   An ETL process for a movies database from Wikipedia and Kaggle. Demonstrated the use of Pandas, RegEx, functions and try-except blocks to create an automated ETL pipeline.

   Jupyter Notebook

5. Credit_Risk Credit_Risk Public

   Performed supervised machine learning using oversampling, undersampling and combination sampling techniques to determine credit risk for bank customers.

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6. NPL_Forecast_TrinidadTobago NPL_Forecast_TrinidadTobago Public

   Using Predictive Analytics to forecast Non-Performing Loans Ratio in Trinidad and Tobago

   Jupyter Notebook 1