· Collaborate with team of 2 to detect clickbait on social media through OpenAI APIs & topic modeling algorithms like LDA

· Utilize OpenAI APIs to summarize text columns, transform into vectors using sentenceTransformers library & employ cosine similarity to quantify correlation between the title & transcripts on two different datasets of a total of over 7700 rows

· Co-author research paper detailing significant findings, presented & published at the 2024 IISA conference

· Led team of 3 to detect & flag hate speech spreaders on online social networks using Python & libraries like sklearn

· Modified Google’s PageRank algorithm to implement graph-based model using adjacency matrices to calculate user influence & measure hate speech spread within user networks, enabling data & network analysis on pre-trained machine learning models

· Co-authored research paper detailing significant findings, presented & published at the 2023 International DSML conference

· Examined the relationship between learning activities, classroom design and student layout through image classification and machine learning to produce a public-facing tool

· Stored and managed MySQL database of pre-classified images and their impact on learning in the classroom

· Developed an API using Flask for an efficient link between the front-end website tool and back-end database