Hi, I'm Matt Diamond.
As an experienced Project manager and Creative Solutions Architect with a background in the gaming and TV production industries, I specialize in descriptive analytics, forecasting, and optimizing project management data pipelines. My passion lies in uncovering stories hidden within data and helping businesses forecast future trends. I combine technical expertise with creative problem-solving to deliver actionable insights.
- Contact Information
- Skills and Technologies
- My Past Projects
- Hybrid AI/Traditional Animation pipeline for kids content
- Game Sentiment Explorer - Helldivers2 Player review sentiment analysis
- CG TV Series Production Pipeline Optimization
- Animation Studio Velocity Analysis
- Episode Complexity and Output Efficiency Analysis
- Analysis and Mitigation of Delays in Animation Production
- Optimizing Efficiency in Animation Production
- Impact of Revisions and Feedback Loops on Animation Production
- European LinkedIn Data Jobs Insights
- Other Projects
- Professional Experience
- Education
- Personal Interests
Location: Prague, Czech Republic
LinkedIn: Matt Diamond on LinkedIn
Feel free to connect for collaborations or discussions on data analytics.
I am proficient in Excel, Python (Numpy, Pandas, Matplotlib, Selenium), SQL, JQL, Power BI, Cognos, Looker Studio, Ftrack, Shotgrid, and Git.
Constantly expanding my skill set to include new tools and technologies.
A project where I was commissioned to create a pipeline using both traditional and AI tools to create kids' content at a price that would give the studio using it a competitive advantage.
A project where I analyzed player reviews of Helldivers on Steam to uncover key sentiment trends, identify common themes, and provide actionable insights for game developers. This project offers a deep dive into player feedback, highlighting areas of satisfaction and concern, making it a valuable tool for improving player experience and guiding future game updates.
A project where I scraped and analyzed job postings across Europe to uncover key trends in the data industry. This project dives into which skills are most sought after, which roles are in demand, and where the top opportunities are located, providing a clear snapshot of the data job market landscape. Perfect for understanding the current dynamics and making informed hiring and career decisions.
In this project, I optimized the production pipeline for the CG animated TV series "Muppet Babies" by analyzing data from the lighting and rendering departments. We identified critical bottlenecks in Shading and Rigging, implemented specialized review stages, and enhanced QA processes for early issue detection.
This project analyzed output disparities across animation studios, focusing on production speed and efficiency. By comparing different studios, we identified key factors influencing productivity and provided recommendations to standardize practices and improve overall performance.
This project analyzed the correlation between episode complexity and production efficiency in animation studios. I developed a system to assess factors such as scene count and special effects, determining their impact on timelines and resources. Additionally, I created a tool to provide standardized, data-driven complexity scores for each episode, helping to predict and mitigate potential production delays
This project examines trends in animation production delays across three studios—StudioA, StudioB, and StudioC. By leveraging data-driven insights, the project aims to identify patterns and implement strategies, such as buffer times, to enhance scheduling accuracy and improve overall production efficiency.
Analyzes efficiency in the animation production process across StudioA, StudioB, and StudioC, focusing on identifying optimal team sizes, standardizing production processes, and improving overall efficiency across blocking and spline stages.
This project analyzed the impact of multiple revision rounds and feedback loops on animation production timelines and quality across various studios. By examining the frequency, timing, and reasons for revisions, we identified key patterns and best practices to streamline feedback processes, reduce unnecessary delays, and enhance overall production efficiency.
A scraper created using Selenium, which pulls job postings by keyword and location search.
A Slack bot created to run every other day, enabling development teams to update each other with their progress without needing a Standup
Developed MIDI controllers for seamless hardware integration with Ableton Live.
Transformed the Hanimex E300 into a modern retro-computer.
A terminal-based language learning app using the Leitner system for vocabulary mastery.
-
Creative Director and Solutions Architect: at Snow Angel
Canada (Remote) | August 2024 - 2025
-
Senior Producer: at CI Games
Europe (Remote) | August 2022 - 2024
-
Director of Data Operations: at Snowball Animation and Visual Effects Studios
Israel (Hybrid) - Czech Republic (Hybrid) - Toronto (Remote) | 2019 - 2022
-
Animation Producer / Animation Director: at ASB – Animatic & Cinematic Studio
Bangkok, Thailand | 2013 - 2016
-
Artist Management: at Cultural Canvas
International | 2012 - 2016
-
Head of South Pacific Artist Management: at This Way Up Artist Agency
New Zealand | 2009 - 2011
-
Character Animator: at TWTV
New Zealand | 2010 - 2011
- MBA in Leadership, Innovation, and Consulting: Thesis on "Agile Methodologies in Video Game Development."
- IBM Data Analyst Professional Certificate: Skills in advanced Excel, Python, and data visualization tools.
Beyond work, I'm navigating the joys and challenges of fatherhood, finding great fulfilment in guiding my daughter as she explores the world.
