• Developed demographic-tailored cancer incidence rate prediction model with 50 M+ lines of medical claims data for 300 clients to support executive-level decision-making on resource allocation and new product launch• Queried data from Snowflake, performed exploratory data analysis (EDA) and modeling with Python, created interactive and scalable PowerBI dashboards on client demographics and cancer epidemiology statistics• Built and tested machine learning model to predict surgery occurrences with preceding procedure and diagnoses codes. Performed data dimensionality reduction with PCA, created forecasting with Random Forest model• Produced slides and presented on surgery and cancer drug savings, identifying client acquisition strategies

President• Oversaw the leadership and operations of 8 quarter-long projects, tracked team feedback and answered concerns; organized weekly team brainstorm sessions, client calls, Kellogg MBA mentorship meetingsDirector of Operations• Monitor progress and ensure the success of delivery of all on-going projects; set up meetings and maintain communication among project team members, team leads, Kellogg MBA mentors, clients and exec board• Facilitated recruitment cycle; organized Mentor-Mentee program to help younger students explore careeroptions; created Instagram posts on project review, member highlight, activity announcement, etc.Project Team Leader• Led team of 6 to perform analysis of a tech product against 6 competitors, provided feedback on current functions, suggestions of new features, insights on product positioning and marketing strategies• Performed market analysis and provided B2B market entry strategies for Chicago local food startup; provided short and long-term strategies for local sales and nation-wide expansions for 3 distribution channels

• Used Django/React frameworks to develop interactive data visualization dashboards to report student academic performance, track faculty instruction quality, evaluate course enrollment patterns, and assess admission KPIs• Collaborated with cross-functional teams to design interface with automated data backfill, ensuring timelessness and accuracy of back-end and front-end integration, catering to 3 major clients and over 10,000 students• Formulated insights and recommendations to increase student-body diversity, optimize scholarship allocation, and enhance recruitment strategies

• Developed Excel models to analyze vendor capabilities and price negotiation levers, resulting in 35% cost reduction• Produced curation strategy presentations and assisted organizing bi-weekly meetings involving C-suite leadership and stakeholders• Managed team to conduct strategic analysis on client company and competitor landscape; performed value chain assessment, product interface evaluation, profitability analysis, and target customer groups identification

• Conducted research and data analysis to identify novel drug products and rising pharmaceutical companies for healthcare case, supported the development of M&A strategies and target list for TMT corporation• Collected, cleared up and filtered 2000+ product attributes and trial results to create presentations on Chinese medicine R&D policies, drug and disease mechanisms, product development pipelines, etc.

• Validated business potential, and provided strategies for market entry and brand awareness consolidation through stock check, studies on demographics, product attributes, competitors and distribution channels• Cold-called 200+ retailers, 20+ marketing agencies, 20+ cobranding partners and 10+ KOLs; performed cost simulation on logistics, co-branding, trade-marketing to provide suggestions on product pricing

• Facilitated collecting data and writing 30+ articles on biotech and healthcare, 3 reached 100k+ overall reads• Monitored and analyzed follower data, managed social media accounts, increased subscribers by 10%