Huangpu District, Shanghai, China
• Sophisticated in quantitative analysis and statistical modeling; profound insights in various business contexts. • Project experiences in machine learning solutions / big data analytics and automation tool development. • Ownership spirit, problem solving skills, high working efficiency, strong learning ability and excellent team player. • Solid understanding of machine learning and deep learning algorithms. Experiences with Python, Pyspark, Theano, Pytorch, Tensorflow, JupyterLab, Teradata SQL, Tableau, Hadoop/HiveQL, AWS, SAS, SPSS, VBA, C/C++. • Fluent verbal and written communication skills in both Mandarin and English; basic Cantonese. • Check out some projects I did on my GitHub repository: https://github.com/OliviavFu/git-ml-cases
• Built customized risk models/solutions for top tier merchants to hedge the ever-changing online risk, prevent fraudster attacks and mitigate losses, achieved ~$6MM net loss saving per year. • Collaborated with DAMA and Automation teams to expand Hypernet ecosystem to merchant level use cases to deploy solutions automatically leveraging algorithms like XGBoost, achieved ~$3.7MM incremental net loss saving per year and ~#3600 working hours saved for end users. • Created portfolio solutions by segmentation analysis leveraging automated solution framework, reduced risk loss on both ATO and SF MO, achieved ~$1.3MM net loss saving per year. • Implemented customized allowlist solutions by portfolio research and simulation for strategic partners and cause initiatives (COVID related fundraising), enabled ~$21MM good TPV per year. • Re-vamped instant payment review intelligence routing mechanism, improved en-queue algorithm and collaborated with PD team to fix product issues to optimize resources utilization, increase case selection accuracy and agent review efficiency, enabled ~$14MM good TPV per year. • Built easy-to-use query script and real-time monitor reports to facilitate merchant loss diagnose and tracking for ROMS team, ~$12MM potential loss exposure are alerted and called for actions.
• Designed and created executive dashboards to deliver data facts and beyond data insights, assisting top management monitor overall business performance, facilitate strategic decision making, identify challenges, analyze root causes on changes, recognize opportunities, develop action plans to expend business. • Led in Gross Margin% and Recover Rate% analysis for client group segmentation to develop optimal pricing strategy for bidding and to improve Win Rate%. • Built forecasting models to predict business / operational trends, develop feasible blueprint and guide future planning. • Set up automation framework / streamline for data visualization, and designed / developed multidimensional analysis. • Led in priority account performance track / review to identify high-potential clients, smart allocate resources / investments and lower the business development cost. • China Firm key owner of Global Client Feedback Assessment Program, conducted client satisfaction depth interview with decision makers from significant client, collected influential feedbacks and information, identified action points and proposed future strategies to enhance business / relationship with the client group. • Led in Competitor Strategy Research to position Deloitte in the market, identify gaps and strengthen key offerings. • Developed new system features with IT team to better facilitate / manage business.
• Led the promotion effectiveness analysis, affinity study, price elasticity study and price index deep-dive, using transactional data and market data to reorganize the promotion recourses, develop optimal pricing strategy, hit the price goal and lower the price perception gap with competitors in consumer track by 3%. • Built BI tool of Hot Item Scorecard, using transactional data, brand data and market data to identify the key business driving items for promotion, the selected items increased sales by 400% and trips by 500% on average. • Built user-friendly seasonality BI tool to show category seasonality trends and importance ranking by periods, influencing the business decisions of merchants, business planning team, tab team and digital team. • Key owner in portfolio study, improving category performance through consumers’ lens by questionnaire design and data analysis to give the category enhancement suggestions to merchants, operations and finance. • Led third-party agencies in projects with regular reports of channel market share, shopper trend study, E-Commerce business trend study, vendor performance review, private brand performance review, category trend data study & KPI review, festival business review to monitor the company business, market dynamics, providing insights to the management, supply chain, marketing, merchandising, planning team, PB team and E-Commerce team. • Built forecasting model to predicate the sales and extract promotion effects, helping review the business and guide the annual plan 2 months earlier than pervious with a less than 1% prediction error. • Visualized weekly price index reports and optimized the workflow, increasing working efficiency and improving strategy plan to bring profit by delivering the reports 1 week earlier to the management, merchants and pricing team.
• Led ad-hoc data analysis, maintained daily reports, tested training system, designed questionnaire & database, conducted fieldwork interviews, periodically reporting the project progress and quality to the client.