Sabina Sujecka

Sabina Sujecka

AI Product Designer in Japan and Europe, She/Her

I'm Sabina. Top 100 Women in AI in PL with 10+ AI Interaction, Product & Data Analyst. I always wanted to understand what was going on underneath the stuff that I was making. This curiosity led me to an Applied Data Science Program hosted by the Massachusetts Institute of Technology, where I focused on recommendation systems.

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Projects

2023

Artificial Intelligence for Impact

Building advanced AI solutions for impact-driven organizations with talented Engineers passionate about making this world a better place.

Skills & Tools Covered:
Leading Research & Knowledge domain
Streamlit & FIGMA

2022

Embarking on an exploration of music recommendation systems, I analyzed the Million Song Dataset from The Echo Nest. This deep dive took me into the world of user behaviors, algorithmic intricacies, and the challenges and opportunities of personalizing music experiences. From dissecting user play counts to experimenting with recommendation algorithms, and mitigating the risk of creating musical echo chambers, this journey was as enlightening as it was challenging. The insights gleaned hold potential for future advancements in the music industry and enhancing digital user experiences.

Skills & Tools Covered:
Similarity Based Recommendation System
Matrix Factorization Based Recommendation System
Clustering Based Recommendation System
K-Means Clustering
Hyperparameter Tuning

2016
Personality of AI

The project's main theme is to investigate whether assigning personality to a machine or robot adds value, affects task efficiency, and helps build relationships and a unique experience. The conclusions from the presentation will be applied in everyday research and marketing practice. An adapted communication style influences user evaluations of a product or service. In the future, an assistant's personality will play a significant role, becoming part of the brand's DNA, much like familiar solutions such as Cortana, Alexa, or Siri.

Skills & Tools Covered:
Psychological Personality research
MVP
User tests
Presentation at Orange headquarter

2016
“Processing of status data in an electronic device” at Orange France

FR International publication number PCT/IB2016/001894 · Filed Dec 14, 2016

The invention relates to a method of processing status data captured from an electronic device, to a remote server, the electronic device comprising a button actionable to switch between at least a first state and a second state, said first and second states being associated with respective status tags in a database of the electronic device.

2015

As the Lead Designer on the NAVIDOM project, I managed a process spanning extensive market research to post-launch validation. This endeavor aimed to create a user-friendly digital solution to streamline property searches and purchases. I crafted wireframes, conducted user testing, and coordinated closely with a UI Designer to ensure an aesthetically appealing and intuitive interface.

This project showcased the value of comprehensive user research, team collaboration, and iterative testing in developing a successful product.

Work Experience

2019 — 2023
AI Interaction & Product Designer at Innovation Management at Orange Labs R&D
Warszawa
2014 — 2015
Customer Experience and Service Design External Expert at CODE design
Katowice
2013 — 2014
User Experience Designer at BLStream
Wrocław
2012 — 2013
Executive Team of Design Silesia, Senior Clerk of Industrial Design at Academy of Fine Arts in Katowice

Developed a cost-effective model for international knowledge transfer resulting in 3 new service concepts for public bodies in Silesia

2014 — 2015
Postgraduate, Design ManagementPostgraduate, Design Management at SWPS University
2012 — 2012
Service Design at Design Wales, National Centre for Product Design and Research (PDR)
Cardiff, UK
2009 — 2010
Industrial and Product Design / Design Management at Düsseldorf University of Applied Sciences

Awards

2022
MIT. First position in Hackathon. The Hack Linguist from MIT

The goal of the problem is to predict whether a passenger was satisfied or not considering his/her
overall experience of traveling on the Shinkansen Bullet Train.