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amazon_vine_analysis

Used AWS, ETL processes and PySpark to work with big data and determine whether reviewers who are a part of Amazon's Vine program (i.e. being paid) are biased and writing more favourable reviews than unpaid reviewers.

bikesharing

Created a Tableau dashboard and story using Citi Bike's data to help provide insights on users and usage

credit_risk_analysis

Used Python (scikit-learn) to develop supervised machine learning models to predict credit risk

cryptocurrencies

Used Python and unsupervised machine learning to create a report of cryptocurrencies being traded and classify them using unsupervised machine learning

election_analysis

Automating the production of an election results report

instabasket_analysis

Used Python and Excel to select the top 1000 products to create an aisle for Instabasket shoppers to improve efficiency, customer satisfaction and profits

juniper_strategy_operations_analysis

Analyzed a delivery startup's performance of their new launch in NYC using Excel, SQL and Tableau to propose a strategy for improving their performance

kickstarter_analysis

Performing an analysis on Kickstarter data to uncover trends using MS Excel

lululemon_merchandising_analysis

Used MS Excel to prepare reports and forecasts that are necessary to launch and sell shorts that are part of the May 2022 capsule.

luna_ecommerce_dashboard

Defined KPIs, created a dashboard and visualized data for executives and SMEs using Power BI to help steer decision-making and track important metrics

mechacar_statistical_analysis

Performed statistical analysis using R on the MechaCar prototype production data to gain insights on the production issues for the manufacturing team

mission_to_mars

Performing web scraping using Python to collect news items about Mars missions

neural_network_charity_analysis

Developed deep learning neural network models using Python (tensorflow, scikit-learn) to predict whether non-profit organizations would be good candidates for donations

pewlett_hackard_analysis

Performed an analysis on employees retirements to assist with making decisions regarding hiring strategies using data modeling, SQL (postgreSQL) and pgAdmin

portfolio_guide

My portfolio guide is a summary of my projects.

pyber_analysis

Performed an exploratory analysis and visualized rideshare data using Python (pandas, matplotlib) to help improve access to ridesharing services and determine affordability for underserved neighbourhoods

school_district_analysis

Preparing test data using Python's pandas library so that it can be used for deriving insights about school performance trends and patterns

superstore_analysis

Used data visualization, association rules learning, and conducted a market basket analysis to uncover trends related to sales and profits to help Superstore make decisions regarding related to their products and pricing strategy.

surfs_up

Used Python, Pandas and SQLite to analyze the weather data and determine whether a surfboards and ice cream business should be opened

teresa-le

ufos_analysis

Used Javascript to create a filter and allow users to analyze UFO sightings data using multiple different search criteria

video_games_sales_analysis

Used Python & R to develop ML models to predict sales and derived insights using Tableau and SQL

world_weather_analysis

Used Python, OpenWeatherMap's APIs and Geoapify's APIs to allow users to find accommodations and plan their road trip vacations.