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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

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© 2022 by Ceren Kasap.

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