•Managed a team in developing back-end features and performance improvements for a market research SaaS solution, ensuring timely delivery in a dynamic startup setting.•Led development of machine learning pipelines in collaboration with data scientists for sentiment and conjoint analysis.•Developed Tableau KPI dashboards to monitor data health and product feature usage, facilitating informed decision-making.•Employed sentiment score analysis and NLP methodologies to identify and eliminate survey panel spam, generating over $1,000 in monthly savings.

•Led a team of data analysts/engineers in developing ETL, data warehousing, and analytic reporting solutions.•Conducted audits on Tableau and Power BI dashboards, resulting in an 18% increase in KPI performance across account.•Collaborated with the People team to refine data collection methodologies, improving data quality and consistency.•Developed Azure solution to simplify data management, replacing manual excel processes and reducing data input time 60%.•Streamlined data collection and analysis by developing an ETL pipeline in Python, SQL, and Airflow, eliminating 8-hour weekly manual effort.

•Designed, developed, and maintained a new full-stack solution in AWS MySQL RDS and MS Access for account-wide employee tracking and reporting, reducing average execution time by 99.95% (minutes to < 1 second).•Eliminated multi-hour manual data loading tasks by implementing ETL pipeline with Python and AWS Lambda to connect multiple data sources, including Postgres, Redshift, and REST APIs.•Dramatically boosted performance-based-contract results, from zero to 120% compensation, through KPI development and increased accountability in WBRs.

•Led a team of two data analysts in designing Oracle Configurator sales frontend solutions and conducting sales forecasting analysis for the company's 100+ aerial equipment products, as well as supporting the Oracle EBS backend (PL/SQL).•Served as an EBS consultant, streamlining the division's data flowchart to reduce change request to sales entry time by 25%.•Researched ANSI standards and implemented changes to product serial labels, saving company an estimated 30 million / year.

• Led Quality Control efforts for geospatial edits made by junior analysts.• Acted as primary contact in video conferences, representing Google in addressing external inquiries from Regional ExpertReviewer program related to MapMaker tools and edits

Utilized Google’s internal map development tools to curate and refine geospatial data, ensuring the accuracy of road layouts, intersections, and points of interest on Google Maps.