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Saanit BansalSB
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Saanit Bansal

@saanitbansal

Computer engineering student building AI and data products from prototype to production.

United States
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What I'm looking for

I’m looking for roles where I can build data-driven products with real impact—combining software engineering with ML/data science, shipping practical dashboards and models, and collaborating closely to turn insights into decisions.

I’m a computer engineering student with a minor in data science, focused on turning messy real-world data into clear, actionable experiences. I’ve built privacy-first health and wellness tooling, and I enjoy engineering systems that make recommendations interpretable and user-controlled.

In internships and project work, I’ve shipped end-to-end analytics and intelligence features: a dataset trustworthiness platform with FastAPI and Streamlit, football performance dashboards with feature engineering in Python, and autonomy-software contributions for NYU RoboSub. I’m also driven by collaborative delivery—whether tutoring students to stronger understanding or partnering in product/engineering cycles to build AI modules for real-estate underwriting.

Experience

Work history, roles, and key accomplishments

New York University logoNU
Current

Peer Tutor

Mar 2025 - Present (1 year 3 months)

Provided one-on-one tutoring to an average of 9 students per semester across Mechanics, Calculus, Linear Algebra, Differential Equations, EMF, and Electric Circuits. Helped approximately 6 students per semester earn A-grades through personalized exam preparation and targeted concept reviews.

LF

Performance Analysis Intern

Linköping FC

Jan 2026 - May 2026 (4 months)

Consolidated and cleaned 14 football datasets into a unified analytics pipeline, then built feature-engineered performance metrics for league-wide team comparisons. Developed and deployed an interactive Streamlit dashboard delivering tactical insights and tracking promotion-focused performance for a team that finished top 3 during the season.

AR

Software Engineering Intern

AriesView

Sep 2025 - Dec 2025 (3 months)

Designed and documented system architecture for an AI-powered real-estate underwriting platform integrating OCR pipelines, RAG-based chatbots, legal prediction models, vector databases, and LLM-driven financial analysis workflows. Contributed to document-intelligence workflows using Ollama-hosted Mistral models and structured extraction pipelines to improve traceability and underwriting decision s

Education

Degrees, certifications, and relevant coursework

NU

New York University

Computer Engineering

2023 - 2027

Grade: 3.45 GPA

Undergraduate coursework in Computer Engineering with a minor in Data Science at New York University (Sep 2023–May 2027). Studies include Data Structures & Algorithms, Probability & Statistics, Database Design, Digital Logic & State Machine Design, and Principles of Data Science.

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