Saanika Dutta
Chicago,IL
Overview
3
3
years of professional experience
Work History
Independent Research
01.2024 - Current
- Initiated and led original research examining how embedding models and classifiers inherit and amplify gender bias
- Designed and implemented experimental pipelines using transformer embeddings, scikit-learn, and permutation testing
- Constructed statistical evaluation frameworks to quantify representational bias in embedding spaces
- Conducted research under mentorship of Princeton PhD Tyler Giallazana
- Authored research manuscript submitted to the National High School Journal of Science (NHSJS)
Data Analyst Research Intern
Signalz.ai
06.2023 - Current
- Conduct NLP research for ed-tech AI products, developing and testing language-processing prototypes
- Managed and optimized large-scale training datasets to improve ML pipeline efficiency and model performance
- Evaluated model outputs to refine algorithm accuracy and educational usability
Editorial Data Visualization Intern
Morningstar, Inc.
06.2025 - 08.2025
- Led cross-functional data remediation correcting 1,145 mislabeled editorial images, preventing copyright infringement and saving $595K personally and $2.38M company-wide
- Designed and built an Asana API calendar automation tool streamlining editorial scheduling and saving ~1 hour per employee weekly
- Prototyped Figma-based analytics interfaces and collaborated with AI engineers to increase engagement with data tools
- Architected a secrets-management plan for cybersecurity teams to secure credentials and API infrastructure
- Analyzed article engagement data to assess AI content impact on Morningstar.com SEO and delivered optimization strategy
Education
High School -
University of Chicago Laboratory Schools
Chicago, IL01.2026
Skills
- Python (9 years), Java (5 years), C (2 years, beginner), SQL (2024 Code Academy Course)
- GitHub (4 years, use for Robotics and Individual Projects), VS Code (3 years, Robotics and APCS)
- Morningstar Internship (2025 Summer): Jupiter Notebook, Figma, and API Development
- Machine Learning (2020 - Current)
- NLP, Bias Evaluation, & Embedding Analysis (Research June 2024 - Current)
Websites
Accomplishments
- 3.94 GPA
- 99th percentile Math NWEA
- 35 ACT (sophomore year)
Timeline
Editorial Data Visualization Intern
Morningstar, Inc.
06.2025 - 08.2025
Independent Research
01.2024 - Current
Data Analyst Research Intern
Signalz.ai
06.2023 - Current
High School -
University of Chicago Laboratory Schools
RELEVANT COURSEWORK
- AP Computer Science (10th Grade, 2024-2025), Intro to Computer Science (9th Grade, 2023-2024)
- Data Science and Machine Science Independent Study (11th Grade, January 2026 - June 2026)
- Discrete Mathematics & Statistics (9th grade) , Accelerated PreCalculus (10th grade), Calculus BC (11th grade)
- Codecademy: NLP Specialist Career Path, SQL, Java, C++
Finance, AI & Data Science Literacy Program — Founder & Instructor
- Designed and launched multi-week curriculum teaching finance, AI, and data science fundamentals
- Partnered with 9 public middle schools in low-income communities to expand STEM access
Ladies in AI — Founder & Director
- Founded global platform empowering young women to pursue AI and computer science
- Built mentorship and learning community connecting students with women leaders in tech
- Launched Ladies in AI podcast (January 14, 2025)
INTERESTS
AI fairness, Entrepreneurship, Research, Robotics, Reading