a 3d creator driven by crafting striking and unforgettable projects




























With more than five years of experience in design, i focus on branding, web design, and user experience, i truly enjoy working with businesses that aim to stand out and present their best image. Let's build something incredible together!
- Developed comprehensive Functional Design Documents (FDDs) for enterprise financial reporting solutions, translating complex business requirements into scalable reporting frameworks and enhancing reporting accuracy across multiple business units. - Designed and delivered financial reporting solutions, including Income Statements, Trial Balances, and Balance Sheets, supporting financial analysis and performance monitoring for multiple companies across the Saint John Group of Companies while ensuring consistency, data integrity, and compliance with accounting standards. - Spearheaded invoice automation initiatives for the Financial Analytics & Reporting team by streamlining reporting workflows, improving data processing efficiency, reducing manual effort, and enhancing the accuracy and timeliness of financial reporting deliverables.
- Built an end-to-end analytics pipeline (AWS EC2, S3, SQLite) to monitor 100+ brand campaigns; automated time-series tracking and visualization for TikTok virality research. - Scraped and analyzed 3M+ YouTube comments using Python, SQL, and NLP to identify engagement patterns and link user behavior to video content characteristics. - Investigated uncanny valley perceptions of humanoid robots using Agile/Scrum methods and cloud platforms (AWS, Azure) to deliver research insights.
- Designed Python-based data scraping frameworks for large-scale data extraction and processing; conducted statistical analysis and visualization using Pandas. - Mentored team members in data analysis and troubleshooting; upheld data integrity through structured cleaning and validation processes.

Analyzed high-frequency panel data collected at 10-minute intervals from 950 TikTok videos published by 86 fashion and apparel brands to investigate the relationship between algorithmic content distribution and post performance. Applied data analysis and clustering techniques to identify three distinct reach archetypes and evaluated how early view trajectories could predict long-term content success. Developed predictive models demonstrating that eventual high-reach posts can be identified within the first two hours after publication, significantly outperforming follower count as a performance indicator. The findings provide marketers with practical tools for optimizing content promotion, reallocating advertising resources, and improving decision-making in algorithmically curated social media environments.

Worked with the project team to establish a cohesive brand identity that reflected the organization's technology-focused expertise and business objectives. Assisted in defining market positioning, refining visual communication guidelines, and developing branding assets that enhanced consistency across digital platforms. Supported strategic marketing initiatives aimed at increasing brand visibility, strengthening stakeholder engagement, and improving the company's competitive presence within the technology consulting sector. The project helped create a unified brand framework that supports ongoing business development and future marketing efforts.
Building pipelines that process millions of rows of real-world data and turn messy signals into something a person can act on.
DCF models and financial reporting frameworks built the honest way — assumptions shown and reasoned through, not just a conclusion asserted.
Studying how systems actually behave — a recommender algorithm deciding what goes viral, or whether editing pace changes how viewers respond.
End-to-end builds: from a data pipeline or model through to a working, deployed product.
Brand strategy and market positioning work for specialty-foods and technology clients.