STATISTICAL ANALYSIS
Measures:

• central tendency (mean, median, mode)

• spread (standard deviation)

• Histograms (frequency distributions)

• Relationship between the data for 2 features / variables (correlation)

• Bias, & Variance

• Over and Under Sampling

DATA WRANGLING:
(Importing, Cleaning, Preparing, & Manipulating Data): dplyr, tidyr, forcats, stringr, lubridate, purrr, broom, 

MODELING, MACHINE LEARNING & FORCASTING:

• Parsnip

• Linear Based Algorithms - Linear Regression & GLM 

• Tree Based Algorithms -   Decision Tree, Random Forest, XGBoost 

• SVG Models- Radial Basis

• Customer Segmentation with lm, K-Means Clustering & UMAP

COMMUNICATIONS:
Data Visualization & Report Building using ggplot2, R-Markdown, and Shiny Web Dashboards

125 Semester hrs -Unofficial Transcripts available upon request

GPA = 3.1

Not currently attending due to Data Science Training

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May 2005

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Tableau 2020 For Data Science

• Create Interactive Dashboards

• Create Storylines

• Work with Data Blending in Tableau

• Create Table Calculations

• Work with Parameters

• Create Dual Axis Charts

• Create Calculated Fields in a Blend

• Work with Timeseries Data (two methods)

• Creating Data Extracts in Tableau

• Understand Aggregation, Granularity, and Level of Detail

• Adding Filters and Quick Filters

• Create Data Hierarchies

• Adding Actions to Dashboards (filters & highlighting)

• Assigning Geographical Roles to Data Elements

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 Microsoft PowerBI Desktop for Business Intelligence

 Connect & Transform Raw Data

• Grouping & Aggregating Data

• Pivoting & Unpivoting

• Modifying, Merging & Appending Queries

• Defining Hierarchies & Categories

• Query Editing & Power BI Best Practices

Relational Data Model​

• Data ("Fact") Tables vs. Lookup ("Dimension") Tables

• Creating Power BI Table Relationships

• Active vs. Inactive Relationships

• Relationship Cardinality

• Connecting Multiple Data Tables

• Filtering & Cross-Filtering

• Data Modeling & Power BI best Practices

Calculated Fields with DAX

• Intro to Data Analysis Expressions (DAX)

• Calculated Columns vs. Measures

• Row Context vs. Filter Context in Power BI

• DAX Syntax & Operators

• Common Power BI Functions

• Basic Date & Time Formulas

• Logical & Conditional Statements

• Text, Math & Stats Functions

• CALCULATE, ALL & FILTER Functions

• DAX Iterators (SUMX, AVERAGEX)

• Time Intelligence Formulas

• DAX & Power BI Best Practices

Interactive Power BI Reports

• Matrix Visuals

• Slicers & Timelines

• Cards & KPIs

• Power BI Map Visuals (Basic, Fill, ArcGIS)

• Treemaps, Lines, Areas & Gauges

• Editing Report interactions

• Adding Drill through Filters

• Linking to Report Bookmarks

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Field of Study: Telecommunications

NASCE - National Association of Communication System Engineers

July 2001 - August 2002

Field of Study: Telecommunications Technology

Field of Study:  Telecommunications and Data Networks

1993 -  Diploma 

64X10 - Armament Electrical Systems Repairer

Field of Study: Mechanics and Repairers, General