Web-based Reports and Data Processing
With a strong background in web-based reports and data processing, I've achieved key milestones in audience segmentation, quantifying qualitative research, and conducting comprehensive data analysis and comparisons. By leveraging full stack web development skills and utilizing platforms like Databricks and AWS, I've been able to deliver insightful solutions to complex data challenges.
01
SBX Sprint Segmentation
We developed a unique SBX Sprint Segmentation Tool – revolutionizing market research accessibility. Utilizing advanced data science clustering techniques, SBX allows precise segmentation any audience and offers customizable clusters Traditionally lengthy resource-intensive, the goal of this product was to provide targeted growth insights that can be readily available and iterative. As a result, we doubled our Average Contract value by positioning SBX as a strategic partner in market.
02
Quantifying Qualitative Research
I managed cutting-edge NLP technology and leveraged a pipeline with tools such as Databricks to transform qualitative research into actionable quantitative insights. By creating an efficient pipeline that taxonomy and classification models, we empower brands to uncover the depth of consumer voices. As such, the quality of our isnights has increased and Net Promoter Scores went up 7%.
03
Comparisons
I managed the development of a new comparisons tool, designed to elevate data analysis experiences. Going beyond standard tools, it allows users to select key variables and effortlessly deep dive into data, revealing relevant nuances across research findings. With a user-friendly interface and a hierarchical information structure, this product unlocks actionable insights for various market research personas. This feature set has unlocked more complicated use cases and increased the number of new logos by 34%.