🎓 The University of Texas at Dallas
📚 Studying Data Science, minors in Cognitive Science and Finance
💡 Interest in Data Science, Machine Learning, Statistical Modeling, Cognitive and Neural Modeling
Overview:
- Designed a predictive model to estimate home prices using real estate data from Realtor.com. Focused on key features such as bedrooms, bathrooms, zip code, and square footage.
Key Tools: R, ggplot2, dplyr, linear regression
Highlights: - Cleaned and visualized housing data to identify pricing trends
- Built and evaluated a multiple linear regression model
- Delivered insights on feature importance in determining home value
Overview:
Created a smart travel assistant that recommends restaurants and events tailored to user preferences. Used a combination of NLP techniques and a custom chatbot to enhance user experience.
Key Tools: Python, Streamlit, TF-IDF, content-based filtering, Ollama chatbot
Highlights:
- Delivered personalized travel itineraries using machine learning
- Fine-tuned LLM responses for conversational trip planning
- Integrated dynamic recommendations into an intuitive UI
Overview: Built a full-stack application for managing student data, focusing on key areas like finances, housing, and class schedules. Key Tools: React Native, SQL, JavaScript Highlights:
- Developed a clean, interactive UI with React Native
- Enabled dynamic input and retrieval of structured data
- Collaborated on feature planning and frontend/backend integration
- 📧 Email: anveethacollege@gmail.com
- 💼 LinkedIn: www.linkedin.com/in/anveetha-suresh-4ab133247
- 🧑💻 GitHub: github.com/anveetha
You'll typically find me with some form of caffeine in my hand and headphones on -- I love making coffee and listening to the biggest variety of music out there! Not only that, I love exploring about machine learnining and statistical methods as well as the ethics of AI. I'm currently reading Algorithnms for Life by Brian Christian and Tom Griffiths!