- Designed an interactive Tableau dashboard featuring U.S. state-wise seasonal wind speed and wind bearing trends, allowing users to explore over 5,000 data points dynamically and presented the results to 20 colleagues and directors, enhancing decision-making for weather-related strategies across different regions- Constructed advanced data reporting and visualization tools using Microsoft Power BI for JPM, significantly improving financial transparency, accelerating decision-making processes, and successfully presenting the results to 20 teammates and directors to enable more comprehensive real-time insights and informed strategic discussions

- Led a team of 5 students to instruct 1 faculty and 20 students about Blogger, Google Sites, Video Editing, Google Drive, RStudio and Data Visualization (Tableau).- Create 6 Lesson Plans and PowerPoint to come to the classroom and guide 6 professors and 100 students in using them.

- Mentored to find ideas and suggestions to improve the personal essays of more than 50 high school students in Vietnam- Taught SAT and IELTS strategies to 30 high school students with a 100 success rate at admission to US universities

● Identified the top 10 factors influencing housing prices by utilizing Python to analyze correlations among 34 variables, resulting in investor guidance on key factors with approximately 80% accuracy● Developed and compared two linear regression models about the relationship between actual and predicted sale prices, identifying the model with over 50% accuracy and key factors influencing housing prices

● Investigated smoking trends and cessation factors to inform public health strategies, focusing on key demographics like gender, education, and income● Processed over 10,000 BRFSS survey data points by R to remove outliers and handle missing or invalid values, reducing data processing time by 80% and ensuring data integrity● Developed R visualizations using bar charts and odds ratio plots to present findings on smoking prevalence, significantly contributing to data-driven public health recommendations

- Conducted financial analysis and identified growth opportunities for 10 early-stage U.S. startups using Crunchbase data, creating 10 reports for each startups to guide the Executive Board in making strategic investment decisions- Evaluated and synthesized reports from 10 partnerships, presenting data-driven recommendations to prioritize high-potential startups, doubling the efficiency of the company's deal-sourcing process- Synthesized and evaluated reports from 10 key partnerships, delivering data-driven recommendations that prioritized startups with the highest growth potential, enabling a more targeted approach in resource allocation- Utilized advanced AI tools to enhance accuracy and efficiency of the evaluation process, reducing research time by 40% while ensuring data integrity across platforms, significantly optimizing the investment workflow

● Analyzed NVDA stock to develop low-risk investment strategies by using Excel to perform dynamic hedging with American and European options, successfully identifying a strategy with an estimated 4% profit yield● Collected volatility data using Bloomberg and developed Black-Scholes and Binomial Tree models in Excel to predict the stock's future value, achieving 95% accuracy with real-time market data

● Developed a financial database using SQL to collect and organize Excel financial reports from 2011 to 2024, streamlining revenue and expense management for plastic pipe products and tracking profitability for each item● Utilized SQL, Hadoop, Hive, and Cloudera Data Science Workbench to determine competitive pricing for plastic products against 20 competitors, resulting in a $5,000 monthly revenue increase