Tony Ojeda - Principal AI Data Engineer

Tony Ojeda

Principal AI Data Engineer

Wake Forest, North Carolina, United States

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Summary

🤩

Rockstar

🎓

Top School

Tony Ojeda is a Principal AI Data Engineer with two decades of hands-on experience building practical AI, data science, and analytics solutions across startups and enterprise environments. He has led and scaled data teams as EVP of Data Science & AI and founded District Data Labs to deliver measurable business impact—optimizing inventory, forecasting, and decision systems that saved millions and improved forecast accuracy. Tony blends technical depth in applied NLP and vectorization (contributing to projects like foxbook/atap on web scraping, social media ingestion, and Gensim-based vectorization) with strategic leadership in generative AI, RAG, and prompt engineering. He co-founded a major regional data community, growing it from local meetups into a multi-group organization of over 15,000 members, demonstrating aptitude for community building and education. Based in Wake Forest, NC, his background in finance and an MBA informs a pragmatic, ROI-focused approach to AI adoption and productization. Colleagues rely on him to turn ambiguous data problems into repeatable, production-ready systems that senior stakeholders trust.

12 years of coding experience

16 years of employment as a software developer

MBA Strategy Execution & Valuation; and Entrepreneurship, MBA Strategy Execution & Valuation; and Entrepreneurship at DePaul University

MS Finance, MS Finance at Florida International University

Stackoverflow

Stats

53reputation

6kreached

0answers

2questions

Github Skills (24)

data-visualizations10

gensim10

python10

data-science10

pandas10

data-visualisation10

webscraping10

text-analysis10

natural-language-processing10

data-visualization10

nlp10

data-analysis10

list-comprehension9

beautifulsoup9

tweepy8

Programming languages (5)

RJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

ironhack-labs/data-labs

Aug 2018 - Mar 2019

Role in this project:

Data Scientist

Contributions:88 commits, 67 pushes in 7 months

Contributions summary:Tony primarily contributed to data analysis and model building within the repository. Their work involved incorporating a Wikipedia HTML file for data analysis, suggesting the use of data visualization techniques. The user then made commits related to list comprehensions and pandas implementation for data manipulation. Their contributions suggest an interest in understanding and building analytical solutions.

foxbook/atap

Feb 2018 - Mar 2019

Code for Applied Text Analysis with Python

Role in this project:

Data Scientist

Contributions:7 commits, 7 pushes, 7 comments in 1 year

Contributions summary:Tony made several updates to code within the `foxbook/atap` repository, which focuses on applied text analysis. The commits primarily involve modifications to code snippets related to web scraping (news and articles), social media data fetching from Twitter, and parsing RSS feeds. Additionally, the user updated vectorization methods using the Gensim library. Overall, the contributions center on preparing and processing textual data.

python

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