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amazon_vine_analysis

Analysis of potential review bias in the Amazon Vine Member program using AWS Relational Databases, PySpark in Google Colaboratoy, and SQL Databases

assessment

bb-diversity

bike_sharing

bikesharing

Analyzing data from NYC's CitiBike program to determine trends of use and predict if it is economically feasible to implement a CitiBike business in Des Moines, Idaho.

credit_risk_analysis

Analysis of credit card loans to predict how risky a future loan will be using supervised machine learning models

cryptocurrencies

Analysis of cryptocurrencies using unsupervised machine learning model to begin developing a cryptocurrency investment portfolio

election-analysis

Python in Visual Studio Code analyzing election results for a Colorado County

intermediate-sql

Intermediate SQL query challenges from LinkedIn Learning

jpmc-task-1

Starter repo for task 1 of the JPMC software engineering program

jpmc-task-2

Starter repo for task 2 of JPMC's forage program

jpmc-task-3

Starter repo for task 3 of JPMC's Forage program

kickstarter-analysis

Performing analysis on Kickstarter data to understand trends

kickstarter_analysis

Crowdfunding analysis using advanced Excel and VBA

mapping_earthquakes

mechacar_statistical_analysis-

Using R and R studio to statistically analyze a vehicle prototype's gas mileage and suspension coils.

mission-to-mars

HTML Web scraping on mars data to create a flask web application using Python, Bootstrap, and MongoDB

movies-etl

movies_etl

neural_network_charity_analysis

Neural network binary classifier to predict if charities will be successful if they receive funding

pewlett-hackard-analysis

pewlett-hackard-analysis-1

In this project, I am using ERDs and Schemas to design databases and writing intermediate-level SQL queries to answer important business questions for the company’s HR department. The result is a well-structured database with implemented constraints, foreign and primary keys.

plotly_deployment

pyber_analysis

quickdemo_c

school-district-analysis

Using Python in Jupyter Notebook to analyze the effect fraudulent grades had on a school district's overall performance.

stock-analysis

Using VBA to build code for identifying trends in the stock market

stock_analysis

surfs-up

:ocean::surfer:Weather Analysis for a Business Plan for A Surf n' Shake Shop in Hawaii To open a Surf’n’Shake shop, a shop that sells surf boards and ice cream in Oahu, Hawaii, the weather has to be in our favor most days of a year. A perfect spot for the shop is a place with the right balance of warm temperatures, sunny days throughout the year and just enough rain to keep the vegetation green. If those criteria are met, we can be confident that new shop will rise and shine. To ensure that we will choose the right spot, I want to make some data-driven decisions; therefore, this analysis focuses on the temperature and rainfall for the past 7 years from 2010 to 2017, specifically for June and December, the two months that are apart enough to ensure that we have a good condition year-round. In order to have enough data, I am analyzing data from six weather stations in Oahu, Hawaii.

surfs_up

Utilizing Python and Flask to convince potential investors that a surf and ice cream shop is economically feasible in Oahu, HI based on year-round weather data