Projects
Although much of the analytical work I have done is confidential, here are some projects that demonstrate exploratory analysis, data visualization, and other analytical skills.
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Software, languages, & libraries used:
Using KNN (K-Nearest Neighbor) in Python to Predict Customer Classification.
Using KNN (K-Nearest Neighbor) algorithm to predict the category of prospective customers based on sample data from a telecommunications company. After determining the best KNN to use, we test the accuracy of the model. This dataset came from the IBM Course "Machine Learning with Python"
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Python libraries used: pandas, numpy, scikit-learn, matplotlib.
Predictive Analysis of Housing Prices using Linear Regression in Python
In this project, I utilize a Linear Regression algorithm to fit a model for housing prices based on property factors in sample data. This was my peer-reviewed final project in the IBM Course "Python for Data Science"
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Python libraries used: pandas, numpy, scikit-learn, matplotlib, seaborn.
Zoho Analytics Live KPI Dashboard
This is a collection of visualization projects that resulted in a three page live KPI dashboard for upper management reference. Data was connected from Microsoft SQL Server Management Studio to Zoho Analytics, and other data sources were joined from various sources to create the live dashboard.
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Initially, these were created in PowerBI, but for management virality and ease of access, the organization determined Zoho Analytics to be more appropriate. For privacy, some text and figures have been redacted.
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The three reports that make up the dashboard are
1. Financial Actuals
2. Compliance Incidents
3. IT Help Desk Ticket trends
Tableau Visualization of Top Nuclear Energy Producing Countries from 1980-2015
Here is an animated Tableau visualization of the top countries that produce Nuclear Energy (by percentage of overall energy production) from 1980-2015.
Data comes from the World Bank. I pulled it using SQL, cleaned in Excel using V-Lookups and Pivot Tables, then formatted for an animated Tableau visualization.
Relief Maps using QGIS and Blender
Blender
Kodiak Render
Quantum Geographical Information System Software Raster
Blender
Here, I created some relief maps using QGIS and Blender;
Downloaded elevation tile data from the European Commission. Processed using raster and layer data features in QGIS to prepare a Digital Elevation Model (DEM).
Rendered 3D models in Blender using various Plane, Camera, Sun, and Scene features.
European Commission Geodata
QGIS (Quantum Geographical Information System)
Blender (3D Computer Graphics software)