Leading development of scalable data solutions that optimize data extraction, transformation, and ingestion process to meet business needs.

Supported supply chain operations for online and retail stores

• Achieved 113% yearly growth through testing and consuming RESTful APIs in Python for strategic partnerships and developing Tableau dashboards for market segmentation analysis• Increased team efficiency by 150% with backend automations, data visualizations, and database reconstruction using Python, SQL, and Tableau• Led and executed accreditation transformation for 5000+ learners through consolidating disparate data sources, building automated ETL pipeline, and simplifying database workflow • Collaborated across multiple teams to provide scalable solutions with agile mindset focusing on end user experience• Maintained data lineage documentation and architecture map for clear communication with non-technical teams

• Transformed monthly metric review with data-driven insights for 4 regional managements through building an ETL process and developing Tableau dashboards with large data sets• Enhanced monthly trending analysis process for Surveillance Officer to identify key patterns by restructuring data reports in Python and creating 100+ trade behavior visualizations in Tableau• Reduced trade alert processing time by 30% through statistical analysis of 100+ alert scenario performance which allowed manager to make effective decision on strengthening training• Designed and improved data visuals daily with Tableau LOD calculations, actions, and parameters for effective data storytelling• Utilized Python and VBA to compile and clean 500,000+ rows of data weekly for exploratory analysis and predictive modeling

• Increased productivity by 25% for Record Management team by developing 5 interactive Tableau dashboards with weekly reporting utility and actionable insights• Optimized reporting process with auto-update through constructing SQL queries to establish direct data connection in Tableau • Automated 200,000+ rows of data manipulation utilizing Python and VBA and documented procedures to ensure sustainability• Improved time efficiency from 2 hours to 5 minutes for a weekly metric compiling process by implementing 100+ lines R scripts• Built and maintained 3 SharePoint sites with 10,000+ users to facilitate daily workflow and provided structured documentation• Performed gap analysis on 300+ metrics to identify enhancement opportunities and communicated strategies to 20+ stakeholders

- Assisted Chief Investment Strategist in developing a comprehensive investment plan with $3 million retirement income through gathering client’s asset information, using Excel to perform data analysis, creating 10+ financial models to project client’s future expenses, and generating detailed recommendation report that meets client’s needs- Researched potential investment targets using fundamental analysis by assessing financial statements and analyzing profitable growth, cash flows, and future value- Presented potential stock prospects to the CEO and provided reasoning for financial viability and performed technical analysis on stock movements to support uptrend proposal.- Constructed monthly $1 million portfolio with covered call options to mitigate risk and assisted Portfolio Manager with evaluation of financial performances and earning calls of followed companies