Resume
Work Experience
2020 - Present
Senior Data Scientist
Royal Bank of Canada
One of North America’s largest banks, with 98,000+ employees and operations across multiple continents, serving 17M+ clients globally.
• Prototyped an AI-powered advisor chatbot using Retrieval-Augmented Generation (RAG), reducing user search effort and improving support experience with <6s response time.
• Designed and scaled end-to-end data pipelines processing millions of daily records; enabled self-serve analytics across 200+ business users.
• Redesigned performance dashboards for digital sales teams, reducing manual prep time by 86% (5h -> 42 mins) and improving engagement with real-time insights.
• Built automated validation workflows that cut reporting discrepancies by 67.6% across 7 distributed data sources, enhancing trust in business metrics.​​
Education
2025
Large Language Models for Business with Python
Stanford Continuing Studies
Grade: A+
2019 - 2020
Industrial Engineering
(IEEQB Bridge Program)
Toronto Metropolitan University
(formerly Ryerson University)
GPA: 3.80/4.33
2013 - 2017
Industrial Engineering
Eskisehir Osmangazi University
GPA: 3.08/4.00
Skills & Expertise
Data & Analytics Engineering
Python, SQL, Hive, Dagster, MongoDB, PostgreSQL, Tableau, Git
AI & Machine Learning
GenAI (RAG, embeddings, OpenAI, vectordb, LangChain, LlamaIndex), Prompt Engineering
Workflow & Automation
ETL Development, Workflow Orchestration, Data Migration, Dashboard Automation
Collaboration & Strategy
Stakeholder Engagement, KPI & Metric Design, Technical Communication, Team Onboarding & Community Building
​