dante.fun

Hello, I am Dante! Welcome to my website. I love all kinds of tech, and work primarily as a data engineer in the US. I like to do a lot of different things, which you can learn about here!

Education & Achievements

BS Computer Science & Data Analytics 4.0 GPA
Google Data Analytics Certificate
Atlassian Agile Certificate
Won Best Use of MongoDB Atlas at HackUMass XII
90% self-taught but appreciated college

Skills

Professionally experienced in specialized algorithm design, data pipelines, integration, and automation.

Personally experienced in working directly with businesses to build websites, landing pages, storefronts, and custom reporting software.

Proudly proficient in communication of technical processes to help others translate goals into plans, data into insight, and understanding into action.

Experience

Industries worked in:
- Higher Education
- Manufacturing
- Food & Beverage
- Retail
- Healthcare

Tutored for programming courses in college

Uploaded coding tutorials on YouTube, and continued to tutor dozens of viewers years after graduation.

My Best Advice

Flood your skills section on LinkedIn

Undergrad students: ask your advisor if your school accepts transfer credit from sophia.org

Take a beginner Python course before college.

My Method for Data Projects

I learned this framework in the Google certificate, it's essentially the scientific method for data and it has been very successful in practice.

Communicate with stakeholders and domain experts to understand context and desired outcomes , and the question(s) being asked.
Use this knowledge to create a clear list of questions being asked and define a successful end goal to work towards.

Prepare

Determine what data you need, whether it exists or needs to be collected. Locate and gather it from all relevant sources.
Clean, format, and structure the data to be ready for analysis.

Process

Use statistical and computational techniques to explore the data, identify patterns, and extract insights.
Create visualizations to help understand trends and relationships within the data.

Analyze

Interpret the results of the analysis in the context of the original questions and goals.
Identify key findings, trends, and insights that address the questions being asked.

Communicate the findings and insights to stakeholders through reports, presentations, or dashboards.
Use clear visualizations and narratives to effectively convey the results and their implications.

Collaborate with stakeholders to develop action plans based on the insights gained from the analysis.
Implement changes, monitor outcomes, and iterate as necessary to achieve desired results.

Creations

Random Code Toolkit - Private Repo

This package runs on a powerful, lightweight algorithm that intakes a list of randomized character strings and trains a data model with positional character weights to generate realistic replications of the codes, as well as analytics helpful for understanding or reverse engineering the generation method.