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apis

Retrieved data from API's, analysed it and produced maps

dashboard_for_data_visualisation_and_exploration

Full stack development to build an interactive dashboard exploring squirrels in Central Park New York.

etl_and_postgres

Practised building an ETL pipeline using Python and Pandas to extract and transform data. After which the data was loaded into a Postgres database.

home_sales

interactive_dashboard_biodiversity

Interactive dashboard looking at belly button diversity

k_means_clustering_crypto

Clustered cryptocurrencies with K-means algorithm

leaflet_earthquakes_mapped

Map showing where earthquakes have occurred recently, magnitude and depth.

linear_regression_tumor_treatment

Analysis on tumor treatment, including charts and linear regression

logistic_regression_creditworthiness

Using logistic regression develop a model to identify creditworthiness of borrowers

mongodb

Creating a MongoDB and performing exploratory analysis

neural_networks

Neural network model development to identify applicants with greatest chance of success

pandas_data_analysis

An early project undertaken to understand how to manipulate and analyse data in Pandas. Data from schools and their standardised test data was analysed, with trends in school performance noted.

powerbi_citi_bike

Used Power BI to explore and visualise Citi Bike usage in NYC

powerbi_nyc_citi_bike

Used Power BI to explore and visualise Citi Bike usage in NYC

project_1_mission_youtube

Group project analysing YouTube data to help content creators optimise their videos

python_data_analysis

An early project undertaken to understand how to analyse data in Python. Financial and electoral data was analysed

sql_database_creation

Created an SQL database and queried the data

sqlalchemy_flask

Using SQL Alchemy to query a database and build a Flask app based off the query results

tableau_story_for_data_visualisation

Tableau was used to build a story, including interactive dashboards to explore the Citi Bike usage in New York City

titanic_survival_predictions

Using machine learning to create a classification model to predicts which passengers survived the Titanic

vba_scripting

Used VBA scripting to analyse generated stock market data

webscraping

Extracted information on Mars via both automated browsing with Splinter and HTML parsing with Beautiful Soup