Shanghai, China
Jasper has years of experience of IT industry, FinTech industry and advisory consulting area in designing and developing machine learning and business intelligence projects focusing on fraud detection to improve fraud identification rate, machine learning platform to build more scalable intelligent models and consumer marketing to improve user retention and drive revenue.
Fraud detection, machine learning platform
- Design, implement and optimize ML and DL algorithms, provide clients with premium DS and AI services - Owned 15+ data science model initiatives, implemented and optimized ML (Lasso/RandomForest/Light- GBM) and DL (YOLOv3, RBM, Autoencoder) through Python, deployed and engineered with MS Azure - Participated in back-end development, DevOps, configurations and deploys of cloud services and VMs - Cooperated & communicated w/ teams from U.S. & China, helped w/ deal pursuit & project implementation - Engaged in PwC Hackathon Idea competition as team leader, won 4th / 21 globally
Predictive Modeling, Business Intelligence Analysis, Data Engineering: - Built a real estate property evaluation tool from algorithms perspective, helped originators find real estate properties similar to interested subject properties for investing purposes using HDBSCAN clustering for rough segmentation and Cosine similarity for property scoring - In charge of business intelligence reporting for the company, created interactive dashboards to reflect KPI and performance of business flow using Tableau (Desktop and Server) at both company level and department level, set up automatic KPI alert and automated Tableau reporting email delivery - Collaborated with engineers to create and periodically update customized data tables via PostgreSQL SQL queries and ETL jobs in Amazon Redshift according to business needs - Advised new data tracking based on business flow, product funnel, lead acquisition, user retention and existing data engineering architecture
- Build lead scoring system using machine learning algorithms with R, Python and relational databases - Perform business intelligence analysis and generate KPI reporting - Implement marketing channel attributions based on last-click and last-paid-click attribution models - Support event-based data tracking, analyze user behavior trends to improve webpage design and product development - Identify bot activities on the platform
- Business intelligence and KPI reporting using SQL, Amazon Redshift and BIME - Scoring analysis on sponsors and real estate properties using SQL and MySQL
TA for course STA 380.10-Mathematical Statistics for Applications TA for course STA 380.18-Learning Structure and Time Series