Rudy Ren
Data Scientist
Dublin, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolRudy Ren is a data scientist with seven years of analytics experience and a decade-long foundation in data work, now focused on credit risk and decision-support reporting. He has led initiatives to build engagement-tracking pipelines and product monitoring reports that illuminate customer lifetime journeys and directly inform risk strategy. Proficient with Databricks products, statistics, and Stata, he combines rigorous quantitative skills with practical pipeline engineering to deliver high-quality, stakeholder-facing insights. At Axcess Financial he established monitoring frameworks that became the basis for risk decisions and now continues that work at Huntington National Bank. Trained at Penn State in applied statistics and experienced translating complex analyses for nontechnical stakeholders, he excels at turning noisy data into actionable, auditable metrics. An appetite for structured, repeatable reporting and recent Databricks certification signal a continuing shift from ad hoc analysis to scalable data products.
7 years of coding experience
4 years of employment as a software developer
MAS Statistics, MAS Statistics at Penn State UniversityBachelor of Arts; Bachelor English, Bachelor of Arts; Bachelor English at Nankai Universityhigh school, high school at Nanjing Foreign Language School
Chinese, English
Github Skills (5)
siamese-network10
object-tracking9
computer-vision9
object-detection8
deep-learning7
Programming languages (1)
Github contributions (5)
STVIR/Grid-R-CNN
Jun 2019 - Jun 2019
Contributions:4 commits, 3 pushes, 1 branch in 1 day
STVIR/pysot
May 2019 - May 2019
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Contributions:3 commits, 1 PR, 3 pushes in 8 days
siammasksiamese-networkdeep-learningcomputer-visionobject-detection
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