Adithya Lakshmi Narasimhan (s4212064)

Exploratory analysis of 1,500 AI job postings using R and PostgreSQL. This project examines the most requested data science skills, their relationship with salaries, job categories, and experience levels. It includes relational database design, data cleaning, transformation, visualizations, and key findings.

An interactive visualisation report examining Australian cinema attendance, box office revenue, annual changes and revenue per admission from 1976 to 2025.

How rooftop solar changed when Victoria's wholesale electricity prices go negative, told in five interactive charts using AEMO, Clean Energy Regulator and ABS open data (2016–2026).

This project aimed to analyze the 2025 NFL Big Data Bowl tracking data to predict whether a play is a run-pass option (RPO) before the ball is snapped, and to identify the pre-snap “tells” that give RPOs away. An XGBoost model was trained on every frame from lineset to snap to produce a live RPO probability, and was tested with leave-one-week-out cross-validation against a logistic regression baseline and a SumerSports-style transformer. SHAP values were used to interpret the model, and the most influential features were combined into a league-wide tell sheet and team-by-team tell rankings that show which looks each offense uses most when running RPOs. Interactive play examples show the RPO probability changing live with motions and shifts. This document outlines all methods, data, and conclusions.

I looked at crime data for St Kilda and the City of Port Phillip to understand how recorded crime has changed over time. The project focuses on shop theft and compares it with other types of offences. Using interactive charts and maps, it explores where changes have occurred, how different offences compare, and what the data shows about crime in the local area.