Informatics + Data Science + Business @ UT Austin
I build practical data, automation, and AI-driven systems.
I’m Daniel Wendland, a UT Austin Informatics student with a Business minor, focused on data science, NLP, SQL, automation, and real-world software projects. I like building tools that make messy information easier to organize, search, and act on.
Projects
Recent projects
Airbnb Review Insights with NLP
Python, pandas, scikit-learn, TF-IDF, VADER, LDA
Analyzed Airbnb listing and review data from 15 U.S. cities to identify sentiment patterns, rating differences, and common review themes.
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NLP Tweet Search Engine
Python, NLTK, spaCy, scikit-learn, Gensim, TF-IDF, GloVe
Built a tweet retrieval system that searches and ranks nearly 300,000 Australian election tweets using keyword and semantic vectorization methods.
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Home Media + Automation Server
Ubuntu, Docker, Cloudflare Tunnel, Tailscale, Jellyfin
Built and maintain a self-hosted media server for streaming, remote access, file storage, and future local AI experimentation.
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Experience
Experience
Transcepta
Data Mapping Intern · Summer 2025
Automated transaction document workflows, mapped SQL data fields, validated data consistency, and introduced AI coding tools that reduced mapping time.
DropOff Threads
Founder & Operator · 2024–Present
Built and operated an online resale business, using sales trends, pricing data, inventory tracking, and marketplace performance to guide purchasing and listing decisions.
Skills
Technical Skills
Let’s connect.
I’m interested in data science, analytics, software engineering, automation, and AI-related internship opportunities.
Email me