Hi, I’m Saanvi Bhagat, a full-stack developer with AI/ML experience, delivering end-to-end web features and rapid prototypes for clients. I build and integrate APIs, databases, and UIs; I’m comfortable with Python back ends and React front ends, and I’m actively building in Node.js/TypeScript and deploying to the cloud. I’m strong in data pipelines (OCR/CV), clear documentation, and remote collaboration. I enjoy contributing at the planning and research stage with quick prototype builds, technology comparisons, and well-scoped deliverables.

Saanvi Bhagat

Hi, I’m Saanvi Bhagat, a full-stack developer with AI/ML experience, delivering end-to-end web features and rapid prototypes for clients. I build and integrate APIs, databases, and UIs; I’m comfortable with Python back ends and React front ends, and I’m actively building in Node.js/TypeScript and deploying to the cloud. I’m strong in data pipelines (OCR/CV), clear documentation, and remote collaboration. I enjoy contributing at the planning and research stage with quick prototype builds, technology comparisons, and well-scoped deliverables.

Available to hire

Hi, I’m Saanvi Bhagat, a full-stack developer with AI/ML experience, delivering end-to-end web features and rapid prototypes for clients. I build and integrate APIs, databases, and UIs; I’m comfortable with Python back ends and React front ends, and I’m actively building in Node.js/TypeScript and deploying to the cloud.

I’m strong in data pipelines (OCR/CV), clear documentation, and remote collaboration. I enjoy contributing at the planning and research stage with quick prototype builds, technology comparisons, and well-scoped deliverables.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced

Work Experience

Retail Betting Assistant at Paddy Power, Flutter Entertainment
July 1, 2025 - Present
Accurately scanning and translating handwritten betting slips into the Akle system, ensuring correct payouts and reducing manual intervention. Perform regular till cash checks and reconciliations; document discrepancies and prepare concise reports. Deliver frontline customer support, including ID verification, responsible gambling conversations, and clear communication under high-volume conditions.
Backend Web Developer Intern at Zetpeak
October 31, 2023 - September 23, 2025
Delivered full-stack features by implementing server logic on a PHP back end and integrating with a React front end (forms, state, error handling). Improved reliability by fixing API responses, session handling, and query performance, wrote concise notes so teammates could maintain changes. Practised code reviews via GitHub pull requests, worked in Agile sprints with reviews and short demos, kept work transparent and on schedule.
Web Developer at Google Developer Students Club (GDSC)
July 31, 2023 - September 23, 2025
Designed and documented REST APIs in Flask; created Postman collections for reproducible testing. Integrated MongoDB; verified endpoints with Postman; added basic unit tests for core routes. Collaborated across front-end and back-end tasks; practised code reviews and sprint planning.
Web Development Intern at The Sparks Foundation
October 31, 2022 - September 23, 2025
Built a mini banking app using PHP, MySQL, HTML, CSS, JavaScript (CRUD flows, forms, validations). Used phpMyAdmin for schema design, indexing, and query inspection; emphasised secure queries and input validation.
Machine Learning Intern at Business Quant
June 30, 2024 - September 23, 2025
Built deep-learning data pipelines using PaddleOCR and Tesseract to extract tabular information from over 3 million images to CSV. Partnered with the data analysis team to interpret results; produced Power BI dashboards and KPIs to communicate insights to the team lead and manager.

Education

MSc Data Science & Analytics at University College Cork (UCC)
September 1, 2024 - August 31, 2025
BTech Computer Science and Engineering at Guru Gobind Singh Indraprastha University (GGSIPU)
December 1, 2020 - June 30, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Retail, Gaming, Professional Services, Media & Entertainment
    paper Quantifying the effects of traffic interventions on air quality

    Built a data-driven framework to measure how short-term traffic measures (e.g., road closures) affect urban NO₂. Combined roadside NO₂ readings with meteorological data, traffic counts, and calendar features (school breaks, public holidays, weekends, hour-of-day) to control for natural variation. Introduced changepoint detection to identify structural shifts in the time series and engineered a novel feature, segment-mean NO, by integrating detected changepoints into the predictive models. Used both Random Forest and LSTM models to compare performance. Results showed localized NO₂ reductions at intervention sites and consistent accuracy gains from changepoint-derived features (RF benefited most from structural context; LSTM captured temporal dynamics and delayed rebounds). The approach offers a practical, context-aware tool for policymakers evaluating targeted air-quality actions.

    Github repo for the project:
    https://www.twine.net/signin