• Designed and implemented data pipelines and ETL processes in SAP CPI using Groovy scripts for integrating on-premise and cloud-based data sources, ensuring data availability and quality for downstream analytics and business intelligence tools• Developed automated workflows using Power Automate, reducing manual interventions• Provided technical support to analytics teams by troubleshooting data-related issues, reducing downtime and ensuring uninterrupted access to critical data• Occasionally leveraged Python on alternative platforms to build custom data processing workflows for handling complex data formats, ensuring seamless data processing and integration• Collaborated with business stakeholders cross-functionally to define key performance indicators (KPIs) and built interactive Power BI dashboards to track performance metrics in real-time• Conducted data analysis using Excel and SQL to generate actionable insights, supporting decision-making across sales, operations, and global business planning teams

• Built and maintained data dictionaries in Microsoft SQL Server, enabling the customer support team to provide clients with customized descriptions for individually named data objects • Created and modified custom reports (SSRS, Spreadsheet Gear, Ad Hoc) by writing SQL queries and C#, assisting clients with real estate portfolio analysis and informed investment decisions• Collaborated with cross-functional teams to gather business requirements, respond to client inquiries, and provide troubleshooting for clients utilizing MRI's proprietary systems

• Taught undergraduates Elementary Statistics, such as Exploratory Data Analysis and Hypothesis Testing

Leveraged technical skills to successfully complete required academic projects• Prediction of Airline Future Customer Satisfaction by Machine Learning with Python: Logistic Regression, Decision Tree, KNN, Naïve Bayes• Realtor Company Database Design and Creation: ER Model, Relational Database, Normalization• National Vaccination Coverage Estimate of Teenagers with SAS• Telco Company Customer Churn Prediction by Survival Analysis with R

• Evaluated existing campaign performance by analyzing key marketing metrics (CTR, ROI, Impressions, etc.) using R for optimization recommendations, improving monthly sales by an average of 19% • Conducted weekly data analysis of CRM and internal process with SQL and Excel, and delivered actionable insights via interactive dashboards, contributing to an average improvement of 11% in CSAT• Collaborated with teams to build highly targeted cross-channel segmentations and improved marketing strategies, resulting in a first-time growth in summer study abroad programs in 2018

• Analyzed actual operating results compared to plans, forecasts, and prior years, presented statistical analysis results during monthly meetings to support strategic decision-making • Performed root cause analysis on products and financial performance for production recommendations, reducing manufacturing cost by 15% and improving the company’s profitability by 12% in 2018