Swaroopa Joshi

Redesigned over five Tableau dashboards and built reports, collaborating with Product Managers to enhance dashboarding features and aid business units in tracking market performance. Partnered with PMs to design experiments that contributed to significant ARR uplift and built statistical models using Python and Tableau for improved data insights.

Performed exploratory data analysis to identify data trends, resulting in effective analysis. Engaged with key stakeholders to design and build numerous Tableau visualizations, showcasing advanced data visualization techniques. Developed and maintained Tableau dashboards to track key hiring metrics, providing insights into recruiting effectiveness and significantly improving time-to-hire.

Collected and analyzed over 100K data points from various sources, designing and implementing robust data models for improved data accuracy. Deployed and managed numerous Launch Darkly feature flags, enabling safe rollouts and cutting feature release time. Identified top-performing user segments using Snowflake and Tableau, conducted root cause analysis, and spearheaded A/B experiments using Growt

Built custom Excel models using different data sources, leading to process improvements and increased operational efficiency. Conducted root-cause analysis for multiple regions, identifying and implementing data-driven solutions that resulted in significant cost savings. Presented data-driven strategic recommendations to leadership, influencing strategic planning and budgeting processes using SQL,

Gathered and analyzed data to interpret trends in delivery processes, applying People Analytics using Tableau to improve profits. Optimized Snowflake queries for large-scale user data, significantly decreasing dashboard load time and supporting daily team usage. Collaborated with data analysts and engineers on multiple concurrent projects for Fortune 500 companies.

Pursued a Master of Business Administration with a major in Data Analytics, covering essential modules like Business Intelligence, Product Management, and Business Strategy. Developed strong analytical foundations in Micro-economics and Statistics.

Completed a Master of Business Analytics and Consulting, focusing on key areas such as Business Analytics, Supply Chain Management, and Project Management. Gained practical skills in Data Analytics using Python.