pranidha shah
@pranidhashah
I build machine learning systems, recommendation engines, and AI workflow automation for real-world business problems.
What I'm looking for
I'm currently building data-driven business workflows at Rocketberry Technologies, where I clean and prepare datasets, develop machine learning models with Python and Scikit-learn, and uncover actionable insights through exploratory data analysis.
I've integrated LLM-powered workflows with Human-in-the-Loop approval pipelines for data validation and review. I also contribute to debugging, testing, and deployment using Python, FastAPI, REST APIs, and Git.
Through DailyPulse, my personal AI-powered task management system, I built a full-stack React.js and FastAPI application with RESTful task APIs, AI-assisted workflow generation, standup reports, daily insights, and HITL task approval.
My academic projects include an SVD-based Gujarat Tourism recommendation system and hierarchical clustering of movie genres. I enjoy translating business problems into practical ML solutions and continuously learning new AI tools, frameworks, and technologies.
Experience
Work history, roles, and key accomplishments
Junior Data Scientist
Rocketberry Technologies Pvt. Ltd.
Mar 2026 - Present (5 months)
Performed data cleaning, preprocessing, and feature engineering on business datasets. Built and evaluated machine learning models using Python and Scikit-learn, and integrated LLM-powered workflows with Human-in-the-Loop approval pipelines.
Education
Degrees, certifications, and relevant coursework
Gujarat University
Bachelor of Science, Artificial Intelligence and Machine Intelligence
Grade: 8.41/10
Pursued a Bachelor of Science in Artificial Intelligence and Machine Intelligence, achieving an average CGPA of 8.41 out of 10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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