I combine analytics, AI workflows, and automation to drive measurable business impact.
5+ years experience across healthcare, supply chain, finance, academia, and marketing analytics.
Bridging Data, AI, and Business Strategy
I’m a Data & AI Specialist with 5+ years of experience and a Master’s in Data Science. I specialize in enterprise digital transformation, most recently leading a full ERP migration from Oracle PeopleSoft to a custom University Management System, owning everything from legacy audit and data architecture through ETL development, go-live, and post-rollout stabilization.
Beyond transformation, I build the intelligence layer that makes organizations run smarter, scalable data pipelines, BI dashboards, predictive models, and AI-powered automation workflows. I’ve done this across healthcare, supply chain, academia, finance, and marketing, always with the same goal: turning complex data into decisions that move fast and hit hard.
Led the end-to-end data workstream for IBA’s migration from Oracle PeopleSoft to a centralized University Management System, consolidating 20+ fragmented portals into one platform. Audited 20,000+ legacy tables, designed the full data architecture, & built ETL pipelines to migrate & validate years of data. Onboarded 5000+ users & built an analytics layer
A full end-to-end patient monitoring system built from scratch for a Canadian elderly care startup. The project spanned database design, app development, and analytics, covering an ERD-designed MySQL database, a Google AppSheet mobile app used by two clinical teams for visit-by-visit data entry, and a Power BI dashboard for patient vitals monitoring.
Financial dashboard built for a German company, tracking collections and revenue across a 5-year period. Connected to a live Microsoft Azure data pipeline. It gives finance and operations teams a single source of truth for monitoring €576K+ in total revenue, €234K in billed amounts, and €117K in extracted (collected) money, with dynamic filters.
A Python-based Exploratory Data Analysis, built to evaluate the end-to-end performance of a multi-channel marketing funnel. The analysis covers five acquisition channels, Organic, Paid Search, Paid Social, Referral, and Email, and computes the core unit economics:: Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and Return on Investment (ROI).
An automated fee installment approval workflow built in Microsoft Power Automate for a university, triggered by student form submissions. The flow handles the entire process from data capture to approval routing, automatically cross-checking each submitting student against a blacklist before deciding whether to proceed or block it.
An AI-powered customer support agent built in n8n that autonomously handles incoming customer emails. The agent uses RAG with OpenAI’s, a Pinecone vector database for knowledge retrieval to generate context-aware responses to customer queries, automatically deciding whether to send a reply directly or draft it for human review.