Greg Bhola (GR8505)

GR8505

Geek Repo

Company:Republic Bank Limited (Trinidad)

Location:Canada

Home Page:https://www.linkedin.com/in/greg-b-9a375a15a/

Twitter:@GregBhola

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Greg Bhola's repositories

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Big_Data

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.

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Credit_Risk

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

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Cryptocurrencies

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

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Election_Analysis

Using Python to audit election results. In this project, I practiced the basics of for loops and conditionals with logical operators. There was also scope to refactor code.

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Movies-ETL

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.

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NPL_Forecast_TrinidadTobago

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

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US_Election_NLP

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. Other key resources such as TextBlob, NLTK, MongoDB and Python were also used to complete this analysis.

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Kickstarter-Analysis-GB

Performing Excel analysis on kickstarter spreadsheet

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machine_learning_examples

A collection of machine learning examples and tutorials.

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Mapping_Earthquakes

Mapbox and Leaflet maps were created to display the most recent earthquakes over the past 7 days.

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Mission-to-Mars

Created a web app using Flask to display web data. MongoDB was also used to store data from web scrape.

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Neural_Networks

Learning to build my own machine learning model using TensorFlow to predict the success of a venture.

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Pewlett-Hackard-Analysis

SQL project using PostgreSQL & pgAdmin to explore a database of employee records.

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PyBer_Analysis

Jupyter Notebook project using Pandas & Matplotlib to visualize and examine the dataset of a mock ride-sharing business operating in urban, suburban, and rural areas. Merge, groupby, sums, count, pivot table methods utilized. Bubble charts, boxplots, pie charts, and line charts created.

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School_District_Analysis

This is a project that I did to solidify some of my basic ETL skills in Python. Some of the methods used include Merge, Filter, CLice, Sort, Count and GroupBy.

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Surfs_Up

Creating an app to monitor weather data for a potential surfboard and milkshake start-up.

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Titanic_Exploratory_Analysis

In this project, I used r programming to perform ETL and construct a Logistic Regression model to predict which passengers survived the sinking of the Titanic.

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UFOs

Created an HTML base page that included an interactive Javascript dynamic table.

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Unemployment_Trinidad_and_Tobago

Developing forecasting tool to predict missing unemployment figures for Trinidad and Tobago.

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World_Weather_Analysis

Using Google Cloud API to highlight potential vacation destinations.

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