Shrey Patel

Built ML models and hands-on applications in Python, TensorFlow, and scikit-learn, through university projects and a Data Science internship at Petpooja. Knowledge of using tools like SQL for query optimisation; developed during industry experience and university projects. Led a team to 1st place in a hackathon by building an AI Kitchen Optimisation System, strengthening leadership and collaborative decision-making.

Used data visualisation tools such as Tableau, Power BI, and Matplotlib to present clear and meaningful insights. Experienced in prompt engineering and NLP techniques using libraries like NLTK and SpaCy, through university projects and internship.

Data Science Intern - Petpooja - India

(2024-09 - 2025-05)

• Optimised 800+ BigQuery SQL pipelines supporting AI agent evaluation, cutting query latency by 30% and making experimentation noticeably faster.
• Designed and evaluated 100+ structured prompts for vision-language models, applying few-shot learning and prompt engineering to improve OCR accuracy by 15%.
• Developed and refined NLP pipelines for text extraction and validation using regex patterns and semantic matching, ensuring outputs remained clean and reliable.

MSc - Artificial Intelligence - Brunel University of London (2026-01 - 2027-04)

BEng - Information Technology - LJ Institute of Engineering and Technology (2021-11 - 2025-05)