Jem Herbert-Rice

Data Scientist

https://talent.gravityer.com/jem-herbert-rice

Data Analyst | Python, SQL, Power BI | I build things to understand them.

Sydney, New South Wales, Australia

Key Strengths

Strong foundational knowledge in machine learning and deep learning, demonstrated through multiple personal projects (e.g., XGBoost predictor, Sutton & Barto RL, transformer visualiser, LSTM model).
Proficiency in Python for data science and machine learning tasks.
Experience with various ML frameworks including PyTorch and TensorFlow.
Practical application of reinforcement learning algorithms (Q-learning, MountainCar, CartPole).
Demonstrated ability to build and deploy data science applications (Streamlit, Dockerfile).
Solid understanding of SQL and database concepts, including schema design and query optimization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong passion for data science and machine learning through numerous personal projects. The diversity of projects, from predictive modeling to reinforcement learning and data engineering, suggests a broad interest and willingness to explore different facets of the field. The 'ownyourship' project also indicates an interest in developer tooling and code quality. However, without professional experience or team-based projects, assessing collaboration and broader cultural fit is challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ownyourship

June 3, 2026 – Present

CLI tool that quizzes developers on their own LLM-generated code. Own what you ship.

View Project

dataset-generator

May 27, 2026 – Present

Generates a realistic 5-year sports retail PostgreSQL database - 440k orders, 1.5M line items

View Project

sutton-barto-rl

April 16, 2026 – Present

Every algorithm from Sutton & Barto Ch 1-13 - tabular RL in NumPy, deep RL in PyTorch

View Project

transformer-visualise-app

February 27, 2026 – Present

Interactive transformer attention visualiser - watch attention patterns form in real time

View Project

ecommerce-sql-analysis

February 24, 2026 – Present

17 optimised SQL queries on a normalised 3NF PostgreSQL schema - 50k+ transactions

View Project

cartpole-rl

February 13, 2026 – Present

Q-learning agent solving CartPole - 500/500 max reward

View Project

mountaincar-rl

February 13, 2026 – Present

RL agent solving MountainCar's sparse reward problem - 100% success rate

View Project

power-bi-sales-analysis

February 10, 2026 – Present

Power BI dashboard with star schema + 15 DAX measures - identified $8.9M recovery opportunity

View Project

lstm-slogan-model

February 10, 2026 – Present

LSTM slogan generator + industry classifier in TensorFlow

View Project

house-price-predictor

February 6, 2026 – Present

XGBoost Sydney house price predictor - 95.27% R2, live Streamlit demo

View Project

Key Strengths

Strong foundational knowledge in machine learning and deep learning, demonstrated through multiple personal projects (e.g., XGBoost predictor, Sutton & Barto RL, transformer visualiser, LSTM model).
Proficiency in Python for data science and machine learning tasks.
Experience with various ML frameworks including PyTorch and TensorFlow.
Practical application of reinforcement learning algorithms (Q-learning, MountainCar, CartPole).
Demonstrated ability to build and deploy data science applications (Streamlit, Dockerfile).
Solid understanding of SQL and database concepts, including schema design and query optimization.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach.

Jem Herbert-Rice

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit