Dongni Lin

Business Intelligence & Data Analysis Intern at Alibaba Group –1688 Made inChina Division

Conducted market research on Latin American e-commerce expansion, analyzing competitive landscapes (Shein, Temu, TikTok Shop) and integrating multi-source consumer behavior and trade policy datasets via SQL queries and internal BI tools; findings informed product selection strategies adopted across 3 regional teams (Latin America, North America, Asia-Pacific). Built automated dashboards using internal AI and BI tools to integrate multi-source data, delivering daily visual reports on key KPIs including GMV, order volume, logistics lead time, and AI-based accuracy metrics — reducing manual reporting time by approximately 40%. Diagnosed abnormal KPI fluctuations including a 12% spike in RTO rates; identified root causes in logistics routing and proposed mitigation strategies that helped restore order completion rates within 2 weeks. Prepared core materials for departmental meetings and coordinated with key account clients on API integration workflows and entitlement rules; produced stru

ESG Data Analysis Intern at Shanghai Environment and Energy Exchange

Developed a carbon market price monitoring tool in Python, integrating historical transaction data and listing information to automatically flag abnormal price manipulation and generate visual anomaly reports. Conducted cross-market quantitative analysis of information disclosure frameworks across major global carbon markets (EU ETS, NZ ETS, K- ETS); independently authored a 30,000-word structured research report cited in regulatory compliance submission and published in a Springer environmental science journal. Tracked carbon quota trading operational metrics (daily trading volume, active account ratio, compliance surrender progress), produced 8 weekly reports, and proposed 3 optimization recommendations.

Portfolio Analyst at Rem and Company

Operational and financial analysis for 2 client companies, evaluating pricing strategies, market positioning, and expansion opportunities to identify specific growth levers. Built data-driven models (Google Looker Studio) and scenario analyses to diagnose underperformance across 2 client companies; analytical findings directly informed client strategic pivots, contributing to measurable business improvements. Translated complex quantitative findings into structured reports and delivered 4 executive presentations to client management, supporting executive decision-making.