Jiashun Lian
Data Analyst
● Master of Informatics professional with 3+ years’ experience in Data Science & Analytics, Machine Learning, Statistical Modeling, and Data Visualization ● Strong mathematical & statistical background and solid understanding of Marketing & Technology ● Extensive knowledge of Python, SQL, MongoDB, Tableau, Power BI, Microsoft Office Suite (Word, Excel, PowerPoint), Matlab, HTML, CSS, Javascript, Hadoop, Spark, Nature Language Processing(NLP), Computer Vision(CV)
Careers
Data Analyst
New York City Office of Technology & Innovation
- ● Data Engineering: Boosted operational efficiency by developing a new pedestrian counting system with JetsonNano edge computing
- ● Model Optimization: Increased 30% accuracy for video object detection using YOLOv5 model and SORT algorithms, reduced 80% processing time by conducting frame rate reduction
- ● Data Visualization: Developed a real-time Tableau visualization dashboard with pedestrian flow and urban planning information
- ● Reporting: Prepared final deliverable, weekly progress reports and presented to managers
Client Engagement Data Analyst
Gucci
- ● Business Intelligence: Increased purchase rate by 48% through developing a VIP shortlisting and event invitation system using machine learning models (XGBoost, LightGBM)
- ● Data Processing: Extract, Transform, Load (ETL) 400K customer data (age, address, purchasing history, category, etc.)
- ● Data Pipeline & Reporting Automation: Led a team of 4 to automate 80% of daily analytical tasks on WTD/MTD/YTD sales performance creation across 102 GUCCI stores using Excel, Python, weekly updated with 10 client categories on Tableau dashboards
- ● Cross-Functional Collaboration: Partnered with external app developers to launch the Gucci Studio App for GUCCI centenary event with scale at $3M revenue
Project Management Intern
China Petroleum & Chemical Corporation
- ● Project Management: Managed 5 gas station renovations with effective planning, scheduling, and contractor collaboration
- ● Modeling: Emancipated 70% of workload for construction site safety management by developing an efficient surveillance system using Python OpenCV and customized YOLOv5 model
Research Assistant
Shandong University
- ● Database Management: Led digitization of 3,000+ patient records for Shandong Justice Bureau using SQL
- ● Machine Learning: Spearheaded an evidence-based prevention protocol that reduced drug relapse rates by 32% by implementing Topic Modeling and Named Entity Recognition (NER) to analyze the efficacy of drug rehabilitation methods
- ● Research and Publication: Published research findings in The Paper’s digital platform, earning 2nd Prize at China Data Journalism Competition
Education
New York University
Applied Urban Science and Informatics
Shandong University
Statistics
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