Keshav Prasath Email & Phone Number

Melbourne, Vic, Au

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

- Lead research projects across the data science lifecycle.Key Projects:- Automated Short Answer Grading (ASAG): Developed an AI solution to automate grading for the Teacher Candidate Assessment Test (TCAT), reducing time and cost while improving accuracy. Utilized Python, PyTorch, BERT models, and Transfer Learning. Explored tools like LangChain, LlamaIndex, and OpenAI GPT APIs for synthetic data generation.- Probabilistic Causal Graph Study: Created an interactive web app to visualize Australian career trajectories using probabilistic graphical models. Built with Python (Jupyter Dash), JavaScript, and D3.js/Sigma.js for dynamic visualizations.- Teacher Leadership Trajectory Study: Analyzing leadership transitions in education to inform government funding, focusing on rural schools, gender biases, and school sizes. Conducted data preprocessing using Python on survey data, developing a Python Flask app for visualization with Plotly and Bootstrap.Supervised by Prof. Michael Kirley & Prof. Howard D. Bondell

Melbourne, Victoria, Australia

- Specialized in Legal NLP research to standardize royalty rates in IP agreements.Responsibilities:- Conducted Named Entity Recognition and Text Summarization using traditional NLP techniques and advanced Large Language Models like Llama2 and Falcon.- Applied Transformer models (BERT-Law) for entity identification and text analysis.- Utilized LangChain and GPT APIs for comparative text summarization and entity recognition.- Performed topic modeling with LDA and text classification.- Collaborated with NLP researchers and legal professionals under Prof. Michael Kirley and Prof. Erik Mooi.

Singapore

- Led the development of machine learning models for customer segmentation and behavior prediction, enhancing personalized marketing and data-driven decisions.Key Contributions:- Predictive Modeling: Improved campaign efficiency and ROI by deploying predictive models for targeted marketing.- Cloud Expertise: Utilized AWS SageMaker, PySpark, AWS, and GCP for scalable applications and geospatial analyses.- Collaboration: Worked across teams to align machine learning projects with business goals.- Product Development: Contributed to an app featuring user segmentations and a persona library for marketing queries.

Singapore

Contributed to UOB's official website migration as a proficient Front-End Web Developer.

Wellington Region, New Zealand

Developed a Bluetooth Low Energy tracking system for Early Childhood Education PhD researchers, facilitating unobtrusive child study without adult presence nearby.

Bachelor'S Of Science, Data Science & Pure Maths

Master Of Data Science

Thesis Titled “Survival on Liver Graft Allocation Analysis”