Solutions
Overview
I built solutions by mixing methods used in software engineering, data analysis, data engineering and data science. All of my solutions feature both code and data. Some focus more on code and others focus more on the data. Everything I do is built to provide the highest quality data possible so it is accurate and reliable.
Focus Areas
Data Management
Data quality matters and you only get it when you are intentional about it. Ensure quality standards using data cleaning, validation, consistency, and data governance.
Database Design
Design databases that are scalable and optimized for performance using modeling and advanced queries. The data storage system behind apps, data warehouses and machine learning.
Analytics
Python scripts, GIS and machine learning to take business analytics to the next level using predictive analytics, classification, clustering, location, recommendations and text analytics.
Data Pipelines
Capture data from a myriad of sources, manipulate it using a process called ETL and deliver it to a destination database. All done automatically.
Software Development
Develop custom apps in the ERP space and websites that are easy to use and secure. CRM, Asset Management, Messaging, E-Commerce and Brochure websites.
Data Integration
Get a more detailed picture of your business by integrating third-party data with yours using APIs, data import, export and enrichment.
Data Analysis
Perform statistical analysis, distributions, determine ranges, finding outliers and feature engineering to understand the data and find patters to benefit your business.
Reporting and Visualization
A picture is worth 1,000 words. Reports and visualizations for business intelligence using automated delivery, self service downloads and dynamic dashboards.