Joseph Peiris

Joseph Peiris

Product Designer, UX Researcher in Toronto, ON, He/They

About

Data-driven and holistic user-focused professional, with a background in Psychology, UX Design, and Data Science. Skilled in leveraging User Data and UX principles to optimize products and enrich user experience. Proficient in analyzing complex data sets using Python, Excel, and Power BI to uncover actionable insights. Experienced in conducting user research and acceptance testing to understand user behavior and enhance the user experience. Accomplished in translating research and ideas into responsive design systems, wireframes, and functional prototypes using Figma. Adept at cross-functional collaboration to create user-aligned visual design systems, to deliver products that blend analytical precision with an understanding of human behavior and motivations.

Work Experience

2020 — 2023

Design and implement responsive and holistic design systems for clients, ensuring seamless user experiences across various devices and platforms, leading to increased user satisfaction and engagement. Collaborate with clients to design wireframes that optimize user experience and align with their vision, leading to user-friendly digital products that increase user engagement (Agile Methodology).

2022 — 2023
Woodbridge, ON

Optimized Adidas' digital presence on key wholesale partner platforms including Amazon, Sport-check, and Altitude Sports, leveraging user and product data and UX principles to strategically redesign product placements and facilitate partner buy-ins, significantly enhancing product sellout.

Analyzed high data complexity and volume across multiple databases using Python, Excel, and Power BI, and applied these insights to user experience design and product allocation contributing to a 120% increase in sell-through on wholesale channels.

Utilized Adobe Analytics and Vendor Central A/B test results, providing recommendations for campaign optimization, contributing to a 270% increase in purchase conversions.

Revamped data-driven weekly Key Performance Indicator meetings to include UX principles and research findings, bridging the gap between quantitative and qualitative data, and contributing to more user-centered decision making.

Optimized database performance and analyzed complex product data using SQL, creating sophisticated queries that delivered actionable insights.

Spearheaded the implementation of Power BI, enabling real-time performance monitoring, identifying areas for improvement, and facilitating data-driven decision-making for Adidas Canada's Digital Product Commerce team.

Prepared PowerBI and Excel dashboards report for user journey, product sellout, size analysis with executives and project team members establishing trusted partnerships to ensure deliveries within scope, budget, and timelines.

Employed advanced Excel functions to analyze data and deliver insights to stakeholders, strengthening decision-making processes.

Collaborated with Data Science, Marketing and E-commerce teams throughout seasonal product transition phases, including the building and identification of competent resources for deliverables.

Handled machine learning and web scraping tools to forecast annual sales quotas and project sales volume for existing and newly ranged products, effectively informing strategic planning for internal and external stakeholders.

Education

2014 — 2018
Honours Bachelors of Science Psychology & Human Biology at University of Toronto

Certifications

2022 — 2023
UX Design from York University School of Continuing Education
2018 — 2019
Data Science from University of Toronto School of Continuing Studies