amazon_vine_analysis

Analysis on Amazon's Vine Review program. Created tables in AWS RDS database. In addition, we also created Google Colab notebooks, then extracted the datasets and placed them into each notebook. We then create a schema that fits the datasets and then loaded the datasets into our RDS. Finally, PySpark, the Python API for Apache Spark was used to transform and load the data into an SQL table in order to perform the data analysis.

bikesharing

Created a data visualization story and dashboards for analysis of citi bike data using ETL methods in python to clean the data and Tableau for visualization.

credit_risk_analysis

Incorporation of Python to build and evaluate several machine learning models to predict credit risk. Use of the Scikit-learn machine learning library to create machine learning models .

cryptocurrencies

Analyze a dataset of cryptocurrencies to uncover hidden trends that can lead to great investment opportunities. Used unsupervised algorithms. Worked primarily with K-means algorithm.

election_analysis

Voting Audit on a local Congressional Election using Python 3 and VS Code

fc2_web_design

g626s

GitHub stats & most used languages

g626s.github.io

great_resignation_analysis

kickstarter-analysis

Performing analysis on Kickstarter data to uncover trends

mapping_earthquakes

Created a geographical visualization to map earthquake data by latitude and longitude from the USGS with Leaflet.js Application Programming Interface(API).

mechacar_statistical_analysis

Implementation of statistics, and hypothesis testing to analyze a series of datasets from the automotive industry. Merged csv files into one data frame to create a series of scatter plots between treatment groups with `R`. Performed statistical analysis to determine differences between treatment groups.

mission-to-mars

HTML and CSS web scraping to automate a web browser to visit different websites to extract data about the Mission to Mars. Data is stored in a NoSQL database MongoDB, and then the data is rendered in a web application created with Flask to display the data from the web scrape. HTML/CSS portfolio was created to showcase the project. Bootstrap components used to polish and customize the portfolio.

movies-etl

ETL(Extract, Transform, Load) pipeline on kaggle movie data using Python and pgAdmin.

nordstrom_product_data_analysis

pewlett-hackard-analysis

SQL analysis on employee database to provide forecasting recommendations and strategies for eligible retiring employees using SQL and pgAdmin.

plotly-belly-button-biodiversity

Dynamic and interactive visualization dashboard and charts using Plotly.js with a human belly button diversity dataset. Interactive dashboard and charts display bacteria that live inside the human body. Upon selection of an id number in a pull down list, the id metadata will be displayed in a div element and the top ten bacterial samples will be displayed in a pie chart and bubble chart.

pyber_analysis

Data Analysis and Visualization on ride-sharing data based on selected city-types using Pandas, NumPy, and Matplotlib Libraries through Jupyter Notebook.

school_district_analysis

Data Analysis on a client's School District's funding and SAT scores in Math and Reading using Pandas and NumPy libraries through Jupyter Notebook.

surfs_up

Analysis of selected weather data from an SQLite Database using tools such as Python, Jupyter Notebook, SQLAlchemy, and design a flask application using data.

ufos

Created a website that displays UFO-sightings data and built a table using that data stored in a JavaScript array. Created filters to make this table fully dynamic, reacting to user input using Javascript, HTML/CSS. Website was customized using Bootstrap, and equipped the table with several fully functional filters that will allow users to interact with the website’s visualizations.

world_weather_analysis

Analysis on weather data and travel maps and directions using Google Maps Platform on Google Cloud of selected number of cities globally using APIs.