My Portfolio of Data Analytics projects.
The Tortured Analysts Department
Part One is a word and sentiment analysis of Taylor Swift’s discography. Part Two includes a machine learning model that predicts the next words in a Swift-esque song.
This project uses: Python, GitHub, Visual Studio Code, Genius API, pandas, NLTK, matplotlib, plotly, sentiment analysis, data collection, data cleaning, data visualization, machine learning, LSTM, RNN, neural network, prediction model, Tableau, dashboards
California’s Energy Systems
An analysis of the last 20 years of California’s energy reports.
This project uses: Python, Google Colab, data cleaning, data visualization, regression modeling, prediction models, evaluation metrics, Tableau
Student Rental: Use Case Study Report
The conceptual models for an original business idea are implemented in a DBMS and validated in MySQL, NoSQL, and Python.
This project uses: MySQL, MongoDB, Python, EER, UML, relational modeling, DBMS, UI models
Unicorn Venture Board
An interactive dashboard exploring data on unicorn companies.
This project uses: Tableau, dashboards, data cleaning, data visualization
Logistic Regression and Anova Testing
A statistical analysis of bank customer and air quality data using two different techniques.
This project uses: Python, Excel, statistics, logistic regression, ANOVA testing
Keyword Network and Word Frequency Analysis
An analysis in Python and R.
This project uses: Python, R, keyword networks, adjacency matrix, weighted network, word frequency analysis, Zipf’s law, Bigram network graphs
Teen Suicide Rates
An analysis of teen suicide rates on Tableau and Flourish presented with visualizations on a webpage.
This project uses: Tableau, Flourish, Wix, data visualization, data analysis
Clustering Methods
A demonstration of K-means and hierarchal clustering methods in Python.
This project uses: Python, Google Colab, K-means clustering, hierarchal clustering, validation methods
Photovoltaics: The Science, History, and Future
A research report on the science, materials, history, politics, and economics of photovoltaics and solar energy.
This project uses: research, reporting, physics, circuit diagrams, presentations