Adrienn Juhasz

MIMS Student 2026

Specialization

Business Strategy
Data Science
Information Architecture
Product Management

Biography

Results-driven Data Scientist and Fulbright Scholar with a proven record in applying AI, ML, and advanced analytics to drive responsible product innovation for societal good. 

Experienced in leading cross-functional teams to deliver ethical and inclusive AI solutions for impactful business results and societal benefits. Committed to enhancing data-driven strategies, fostering equitable technology adoption, and empowering multidisciplinary collaboration for sustainable development. 

With a background in sociology and economics, I have ten years of experience in Finance, Management Consulting, and Academic Research. 

My Project Portfolio (in progress)

  • YourRights – legal tech startup (Big Ideas Contest Finalist, 2024)

  • Human-AI Interaction Research (Capstone): Conducting in-depth research on the effects of vibecoding tools on Product Manager and UX Design workflows, analyzing their impact on creative taste and decision-making.
  • New York Times Games User Experience (UX) Research: Leading ongoing user-experience research and competitive analysis to inform product strategy and feature development. ( UX Research)
  • AI-Augmented Productivity App : Designing and building a time management optimization application that features an AI-enhanced recommendation system and agentic assistant for merging and optimizing tasks across multiple university platforms. (SCET Product Management)
  • Health Insurance MVP (in progress): Developed an MVP for a health insurance app, focusing on AI-enhanced recommendations to help patients select the best travel and health insurance based on their current coverage, medical history, and family needs.
  • Asthma Management App MVP (in progress): Designed an MVP for an asthma management app for parents, including timely integration of weather forecast data (air pollution, heat waves), symptoms management tools, and therapeutic resources.
  • Agentic AI article  (COMPSCI 294, Agentic AI)
  • Knowledge Graph-Enhanced RAG Model Design and Evaluation built for  Data Privacy Regulatory Documents (INFO 290, Applied GenerativeAI)

  • Emergency App (MVP) for rural disaster management with offline, location-based support and chatbot capabilities in underresearched languages (Climate, People, Informatics)

  • Product Portfolio for a data-driven gamification-based Youth Financial Education platform (MVP) (Haas@Work)

  • Quantifying neural effects of doomscrolling and meditation using the Unicorn Black EEG Headset  (Biosensory computing) 

  • Wrapped in Care: The BioBlanket Revolution - A Design Fiction (Biosensory computing) 

  • MoveAgain - An AI-Augmented Post-Surgical SCI Patient Care Coordination App (MVP) (INFO 201 - Research Design and Analytics in Data Science; Haas Lean Launchpad )

  • Developed the MVPF methodology and dashboard for Cook County Jail pre-trial detention facility: an end-to-end analytic pipeline and interactive dashboard to visualize MVPF outcomes and compare the fiscal and social returns of competing jail policies. (INFO 290 - Building Data Products for Public Impact)

  • Predictive model for primary care patient attendance in Brazil - an ML-based approach to improve health efficiency and resource utilization in primary care (Data Mining)

  • Computational linguistics analysis (NLP) on the Cornell Movie-Dialogs Corpus to quantify systematic differences between Crime and Action films, driving advancements for genre-aware AI scripting tools.(INFO 256 - Applied NLP)

  • Budapest 2030-2035 - How the city reclaimed its energy - A Design Fiction (Climate, People, Informatics)

Skills:

  • Core competencies: Product and Project Management, computer science, data analysis, data-driven decision-making, strategic planning, software development, information system development, customer (CX) and user experience (UX), BPRM, Service Design, Lean and Agile Change Management, Quantitative and qualitative research, Model building, 

  • Programming Languages: Python, SQL, HTML, XML, JavaScript, R, VBA

  • Software, Applications: Databricks, Snowflake, Jira, Qualtrics, Alteryx, Tableau, Microsoft Power BI, O365 and Power Automate, IBM SPSS, MAXQDA, Figma, Miro

  • ML and Data Engineering: MongoDB, PostgreSQL, Neo4j, TensorFlow, Azure, Apache Spark, and Hadoop

  • Soft skills: analytical systems thinking, problem solving, strong communication skills, teamwork, and leadership