Resume

Business & Data and AI Generalist Intern

Interact Health PRO · Toronto, ON (Remote) May 2025 – Present

• Designed and shipped executive Power BI dashboards tracking patient engagement, claim turnaround time, and operational SLAs; implemented row‑level security and refresh governance.
• Built automated ETL in Python/SQL (incremental loads, validation rules) to clean and standardize encounter/claims data; reduced manual reporting effort by 70%.
• Prototyped AI features as an “AI Generalist,” including prompt‑driven Q&A over policy docs (OpenAI/LLM), entity extraction for intake notes, and vector search for knowledge retrieval.
• Partnered with clinical ops and product to define KPIs, instrument tracking, and A/B test readouts; authored PRDs and documented data contracts for new sources.

ML Data Associate I

Amazon · Hyderabad, India Sept 2019 – Jul 2023

• Queried large‑scale CX/quality datasets with SQL to build recurring reports, anomaly checks, and KPI scorecards for leadership.
• Developed Python utilities to streamline labeling QA, reconcile upstream signals, and triage data integrity issues; reduced review cycle time.
• Created team dashboards (Excel/SQL, later Tableau/Power BI) for retention, tagging consistency, and failure modes; enabled deeper root‑cause analysis.
• Collaborated with engineering and program managers to refine taxonomy, improve tagging logic, and document data logic/source mappings.

Postgraduate Certificate, Big Data Analytics & AI

Georgian College · Barrie, Ontario 2023 – 2025

Capstone Project: Insurance Fraud Detection Using Machine Learning – Developed an end-to-end ML pipeline using XGBoost to detect fraudulent insurance claims, and visualized fraud trends through interactive Power BI dashboards.