I am an Analytics Engineer and an AI enthusiast
and I aspire to advance fairness in AI through data-driven solutions!
Lucid Software
• Leading dimensional modeling infrastructure development, replacing legacy systems to
enhance CX insights and build robust foundation for long-term data scalability
• Created
backlog allocation metrics dashboard with 1K+ views for CX leadership
Lucid Software
• Spearheaded email overhaul project optimizing internal data matching system, reducing
cross-app data syncing errors by 80%
• Implemented analytics processes across 40+ models
with robust error detection mechanisms
Macalester College, Saint Paul, MN
• Graduated Summa Cum Laude with 3.91 GPA, earning membership in the prestigious Phi Beta
Kappa Society
• Completed major in Applied Mathematics and Statistics with Computer
Science minor, building strong foundation in statistical methods, mathematical modeling, and
computational problem-solving
Sezzle, Minneapolis
• Designed user address validation process using Google Address Validation API
• Developed
Python script achieving 100% data consistency identification for credit bureau
reporting
• Automated Metro2 file transfer via SFTP
Up&Up, NYC (Series B Startup)
• Built predictive model for identifying high home price appreciation neighborhoods, pitched
to senior management
• Migrated legacy reports to new analytics platform, decreasing
dashboard latency by 50%
Deloitte Consulting, Singapore
• Built and integrated a parallel execution system into client's data workflow using
Workflows and Data Fusion on Google Cloud Platform, reducing expected engineering time by
40% and optimizing process runtime by 70%
• Implemented 20+ validation checks to update
outlier dashboard in real time using Python, Cloud Run, and BigQuery, improving data input
quality for ML models forecasting client's logistical demand
• Leveraged BigQuery and
DataStudio to create an interactive dashboard monitoring business trends and identifying
anomalies
Boston Consulting Group (BCG), Ho Chi Minh City, Vietnam
• Improved data analysis time by 50% by shifting from Excel to SQL and R, developing sales
model redesign insights from analysis of a database of 600,000+ companies in Vietnam
•
Analyzed industry data to stress test key model assumptions, boosting model robustness
•
Assisted in constructing a cost component framework and capital expenses analysis,
outputting different expense optimization scenarios for the 5-year financial model
Macalester College, Greater Minneapolis-St. Paul Area
• Fall 2021 and Spring 2022 Teaching Assistant for STAT 155 - Statistical Modeling and STAT
125 - Epidemiology
• Supported students in understanding complex statistical concepts and
epidemiological methods
• Facilitated lab sessions and provided one-on-one tutoring for
statistical analysis projects
MoMo (Vietnamese Tech Unicorn), Ho Chi Minh City, Vietnam
• Built a real-time cinema occupancy dashboard for product owners to observe users'
purchasing behaviors, informing new product features for the cinema booking service and
contributing to a potential 15% revenue increase
• Supported the reduction of loss by $9M
(10% of total loss) from fragmented loyalty initiatives by providing segmentation insights
of 3000+ merchants to help PMs optimize the point reward system
• Synthesized a report on
successful features of popular sticker sets from Asian social conglomerates, providing
insights for the product team to improve and launch MoMo's official sticker set to 25M users
Mindshare (Global Media Agency)
• Analyzed media consumption patterns and audience demographics for major brands
•
Assisted in developing media planning strategies across digital and traditional
channels
• Conducted market research for advertising campaign optimization
UWC Mahindra College, India
• Achieved 42/45 GPA, ranking in the World 98th percentile among IB students globally
•
Higher Level subjects: Mathematics, Psychology, Chemistry; Standard Level: Biology, English,
Spanish
• Completed rigorous international curriculum emphasizing critical thinking,
global citizenship, and intercultural understanding
• Research examining how tech migration and socioeconomic factors affect house values across census
tracts in the Bay Area
• Used longitudinal GEE models and spatial autoregressive analysis to
understand the $3 trillion Silicon Valley real estate spillover effects
• Analyzed the evolution
from dot-com bubble through current tech boom impact on housing markets
• Statistical machine learning analysis predicting Melbourne housing prices using GAM and LASSO
regression
• Identified top 6 predictors including building area, house type, and distance from
CBD
• Performed K-means clustering to segment houses into distinct market groups for targeted
analysis
• Advanced customer segmentation analysis using K-Means clustering techniques developed during MoMo
internship
• Segmented customers into distinct behavioral groups to enable targeted marketing
strategies
• Optimized resource allocation for the Vietnamese fintech unicorn's customer
engagement initiatives