Diana Munro BSc MSc MS PG Dip Ed

A highly analytical and results-oriented individual with a passion for excellence in problem-solving and research. My academic journey, culminating in a Master's in Analytics from Georgia Tech, has equipped me with a deep understanding of machine learning, statistical modeling, and data visualization. I am proficient in Python, R, and SQL, and have hands-on experience with advanced techniques like contextualized topic modeling and object detection. Throughout my academic and professional career, I have worked with NumPy, pandas, OpenCV, scikit-learn, PyTorch, PyTorch Lightning, transformers, TensorFlow, Keras, nltk, Gensim and more.

Get in touch at diana.munro@gmail.com

Selected work

Football Detection in Match Images

Language: Python

Libraries: Pytorch, Transformers, OpenCV, PIL

Summary: Finetuned Florence-2, improving localization accuracy in footbal detection.

Diana_Munro_football_detection_practicum_final_report.pdf

Content Based Steam Recommender

Language: Python

Libraries: nltk, numpy, pandas, scikit-learn, contextualized-topic-models

Summary: Created a content based recommender system for Steam games with a hit rate of 0.41, which is a significant improvement the content based model proposed by Kamal et.al. which had a hit rate of 0.05.

Steam_Recommender_Diana_Munro.pdf

What is in a tasty chocolate?

Language: Python

Libraries: scikit-learn, nltk, numpy, pandas

Summary: Investigated the best predictors of chocolate taste.

Munro_Diana_Project_Report.pdf