Computer Science student @ Taylor's University · data science & ai · she/her
I'm detail-oriented in both the technical and the creative. I live at the intersection of numbers, patterns, and making things look pretty: whether that's a well-tuned model, a clean visualisation, or a report that actually makes sense to read. currently deep in the world of machine learning, statistics, and computer vision, and genuinely enjoying it (hehe, can you tell i love numbers, data and the arts!!!!).
- 🧠 machine learning & intelligent systems — building decision support systems, classification models, deepfake detection, GANs, diffusion models, multimodal ML + learning where each actually belongs
- 👁️ computer vision & nlp — working on a CNN-based jersey number recognition system using PyTorch: image understanding, spatial & frequency transforms, filtering operations, and NLP pipelines
- 📊 statistical inference & modelling — spearman correlations, ordinal logistic regression, hypthesis testing (becoming one w the p-value lol)
- 🎯 big data technologies — Hadoop ecosystem (HDFS, Spark, Spark SQL, MLlib) for large-scale analytics
- 🌿 internet of things — designing a smart fuel efficiency monitoring system (DriveWise AI!)
- 📈 data analytics — EDA, feature engineering, preprocessing pipelines + making data tell a story
Languages
Front-End
Back-End & APIs
AI & Machine Learning
Data, Visualisation & Big Data
୨ৎ—🌷 "You are what you love" ── ׁ ୭୧