
Priyant Shah
@priyantshah
AI/ML and data analytics practitioner who developed PolicyRAG, a citation-grounded assistant for banking regulation documents.
What I'm looking for
At AcademixStore, I analyzed student book-buying records with SQL, Python, Pandas, and NumPy to identify purchasing cycles and demand surges around academic terms.
I cleaned and validated transactional data using Excel PivotTables and Power Query, then built interactive Power BI dashboards for category sales and order volumes.
On PolicyRAG, I built a hybrid retrieval pipeline for banking regulation documents, combining dense retrieval with BM25, Reciprocal Rank Fusion, and cross-encoder reranking. Its answers include document and page citations, and its best tested configuration reached 0.63 citation accuracy.
I also built AutoML Builder, a CSV-based machine learning pipeline with a React and Vite interface, and developed a TensorFlow text classifier during my internship at 1Stop Keep Growing.
Experience
Work history, roles, and key accomplishments
Data Analytics Intern
AcademixStore
Jan 2025 - Jan 2026 (1 year)
Analyzed student book-buying records with multi-table SQL queries, aggregations, Python, Pandas, and NumPy to identify purchasing cycles and demand surges. Cleaned and validated transactional data using Excel PivotTables and Power Query, and built interactive Power BI dashboards with filters and calculated metrics.
AI / ML Intern
1Stop Keep Growing
Jul 2024 - Dec 2024 (5 months)
Explored and preprocessed the 50,000-review IMDB dataset with Python, Pandas, and NumPy. Built and evaluated a TensorFlow text classifier that reached approximately 85% test accuracy.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Bachelor of Engineering, Computer Engineering
Grade: 7.49/10
Bachelor of Engineering in Computer Engineering with a CGPA of 7.49/10.
Don Bosco School, Nashik
Secondary School Certificate, General
Grade: 82%
Secondary School Certificate with a percentage of 82%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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