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# Jeff Xu

**Headline:** Data & Operations Assistant
**Profession:** Data & Operations Assistant
**Location:** New York, NY, USA

## About

Jeff Xu is a Data & Operations Assistant at the University of Connecticut and a data, operations, and analytics professional with experience building AI\-powered products, data integrations, and user\-focused business solutions\. Jeff is currently hands\-on with generative AI in an internship role, working across major API providers and AI platforms including Claude and Hugging Face\. Jeff’s strengths include stakeholder requirements discovery, business\-process analysis, UX\-focused product development, and Agile delivery through incremental shipping backed by substantial upfront discovery\. At RBC in 2022, Jeff worked as a Business Analyst in Compliance & Privacy Risk and shipped a migration project that improved efficiency by 400% through UX improvements and new templates and modules\. Jeff also designs flexible products that support user customization and self\-service documentation, and takes a permissions\-first approach to complex data integrations\. Jeff’s experience spans energy demand data science at Enbridge Gas, global operations analytics at KLN Logistics Group, and current data and operations work at the University of Connecticut\. Jeff holds a B\.S\. in Statistics from the University of Toronto and is pursuing an M\.S\. in Business Analytics \| Gen AI System Engineering at the University of Connecticut\.

## Highlights

- Serves as a Data & Operations Assistant at the University of Connecticut\.
- Is currently hands\-on with generative AI in an internship role, building AI\-powered products\.
- Shipped an RBC migration project in 2022 that improved efficiency by 400%\.
- Improved user experience at RBC through new templates and modules as part of the migration project\.
- Worked as a Business Analyst in Compliance & Privacy Risk at RBC\.
- Worked as a Data Scientist focused on Energy Demand at Enbridge Gas\.
- Worked as a Data Analyst in Global Operations at KLN Logistics Group\.
- Built integration services with major API providers and multiple AI platforms, including Claude and Hugging Face\.
- Builds flexible products that support user customization and self\-service documentation\.
- Gathers business requirements from stakeholders and develops an understanding of business processes\.
- Uses an Agile delivery approach centered on incremental shipping and substantial upfront discovery\.
- Applies a permissions\-first approach to complex data integrations\.
- Earned a Bachelor of Science in Statistics from the University of Toronto\.
- Is pursuing a Master of Science in Business Analytics \| Gen AI System Engineering at the University of Connecticut\.
- Completed Summer School in Business/Commerce, General at Harvard Extension School\.
- Completed Graduate Studies in Financial Engineering at National Yang Ming Chiao Tung University\.

## Experience

- **Data & Operations Assistant at University of Connecticut** (2025\-08\-01–present)
- **Data Scientist, Energy Demand at Enbridge Gas** (2023\-08\-01–2024\-08\-01)
- **Business Analyst, Compliance & Privacy Risk at RBC** (2022\-05\-01–2022\-08\-01)
- **Data Analyst \(Global Operations\) at KLN Logistics Group** (2019\-09\-01–2020\-09\-01)

## Education

- Master of Science \- MS, Business Analytics \| Gen AI System Engineering — University of Connecticut (2025\-01\-01–2027\-01\-01)
- Graduate Studies, Financial Engineering — National Yang Ming Chiao Tung University (2024\-01\-01–2025\-01\-01)
- Summer School, Business/Commerce, General — Harvard Extension School (2023\-01\-01–2023\-01\-01)
- Bachelor of Science, Statistics — University of Toronto (2018\-01\-01–2023\-01\-01)

## FAQ

### What does Jeff do?

Jeff is a Data & Operations Assistant at the University of Connecticut\. Jeff is also currently hands\-on with generative AI in an internship role, building AI\-powered products\.

### What are Jeff’s core professional strengths?

Jeff is strongest in stakeholder requirements discovery, business\-process understanding, data and operations work, AI integrations, UX\-focused product development, and Agile delivery\. Jeff emphasizes substantial discovery work before shipping incrementally\.

### What did Jeff accomplish at RBC?

Jeff worked as a Business Analyst in Compliance & Privacy Risk at RBC in 2022\. Jeff shipped a migration project that improved efficiency by 400%, with work focused on user experience and the development of new templates and modules\.

### What was Jeff’s role at Enbridge Gas?

Jeff worked as a Data Scientist focused on Energy Demand at Enbridge Gas\.

### What was Jeff’s role at KLN Logistics Group?

Jeff worked as a Data Analyst in Global Operations at KLN Logistics Group\.

### What AI and integration experience does Jeff have?

Jeff builds integration services with major API providers and multiple AI platforms, including Claude and Hugging Face\. Jeff also takes a permissions\-first approach to complex data integrations\.

### How does Jeff approach product design and user experience?

Jeff builds flexible products that enable user customization and support users through self\-service documentation\. Jeff is motivated by building products with a strong focus on user experience\.

### How does Jeff approach requirements and delivery?

Jeff gathers requirements directly from stakeholders and works to understand the underlying business processes\. Jeff follows an Agile approach that combines deep upfront discovery with incremental shipping\.

### What is Jeff’s undergraduate education?

Jeff earned a Bachelor of Science in Statistics from the University of Toronto\.

### What graduate education is Jeff pursuing?

Jeff is pursuing a Master of Science in Business Analytics \| Gen AI System Engineering at the University of Connecticut\.

### What other education has Jeff completed?

Jeff completed Summer School in Business/Commerce, General at Harvard Extension School and completed Graduate Studies in Financial Engineering at National Yang Ming Chiao Tung University\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/jeff\-xu\-kr2016

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