<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Professional Experience on Ruize Jin | Data Scientist &amp; AI Engineer</title><link>https://www.ruizejin.com/experience/</link><description>Recent content in Professional Experience on Ruize Jin | Data Scientist &amp; AI Engineer</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 01 Nov 2025 00:00:00 +0800</lastBuildDate><atom:link href="https://www.ruizejin.com/experience/index.xml" rel="self" type="application/rss+xml"/><item><title>SCOR SE</title><link>https://www.ruizejin.com/experience/scor-se/</link><pubDate>Sat, 01 Nov 2025 00:00:00 +0800</pubDate><guid>https://www.ruizejin.com/experience/scor-se/</guid><description>&lt;ul&gt;&#10;&lt;li&gt;Built a SQL ETL pipeline and analyzed claims and policy data in Python for 20 Life &amp;amp; Health clients, reducing analysis time by 50% and informing client segmentation and marketing strategy.&lt;/li&gt;&#10;&lt;li&gt;Built Power BI dashboards for Life &amp;amp; Health portfolio reporting and experience analysis, with automated quarterly refreshes for recurring performance monitoring and reporting.&lt;/li&gt;&#10;&lt;li&gt;Deployed a Qwen-powered AI agent to collect insurers&amp;rsquo; solvency reports and extract and validate key data, reducing report-processing time by 70% and supporting market solvency analysis.&lt;/li&gt;&#10;&lt;/ul&gt;</description></item><item><title>Siemens</title><link>https://www.ruizejin.com/experience/siemens/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0800</pubDate><guid>https://www.ruizejin.com/experience/siemens/</guid><description>&lt;ul&gt;&#10;&lt;li&gt;Deployed Selenium crawlers and AWS pipelines to automate macroeconomic data collection; optimized PySpark workflows, improving resource utilization by 30% and reducing processing time by 45%.&lt;/li&gt;&#10;&lt;li&gt;Cleaned and migrated COPA data with pandas and delivered CPD reports to business teams, supporting performance analysis and decision-making.&lt;/li&gt;&#10;&lt;li&gt;Developed scripts to scrape, structure, and ingest million-scale business documents into a RAG knowledge base supporting Siemens&amp;rsquo; in-house LLM and grounded, domain-specific responses.&lt;/li&gt;&#10;&lt;/ul&gt;</description></item><item><title>Peking University International Hospital</title><link>https://www.ruizejin.com/experience/peking-university-international-hospital/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0800</pubDate><guid>https://www.ruizejin.com/experience/peking-university-international-hospital/</guid><description>&lt;ul&gt;&#10;&lt;li&gt;Worked with reimbursement and finance teams to validate quarterly inpatient data and resolve discrepancies across more than 2,000 records, reducing errors by 32%.&lt;/li&gt;&#10;&lt;li&gt;Presented DRG/DIP reimbursement analyses to visiting faculty and the dean, explaining stakeholder trade-offs and financial implications for hospitals, patients, and insurers.&lt;/li&gt;&#10;&lt;/ul&gt;</description></item></channel></rss>