• Designed and executed large scale A/B tests to enhance new product features, driving data-backed iterations for continuous improvement.• Established and maintained resilient data pipelines with DBT, automating ETL processes for large-scale datasets, ensuring data integrity and accessibility for stakeholders.• Led in-depth quantitative analysis, data mining, and data visualization for meaningful insights, pattern identification, ROI project pinpointing, and actionable recommendations to drive company level business strategies.• Mentored and coached data scientists, fostering a collaborative and innovative team culture, accelerating their professional growth.• Developed and delivered technical training sessions, enhancing the data literacy of non-technical teams for improved cross-functional communication and understanding.

• Conducted full cycle data analyses through gathering and cleaning data, using statistical models to understand user behaviors, and deriving insights to drive actionable business recommendations for cross-functional stakeholders including engineers, product managers and UXR.• Created data visualizations to present quantitative findings, explain trade offs involved, and make actionable recommendations to multiple levels of stakeholders.• Designed metrics to measure product success, and developed automated reports and dashboards to refresh and report on these metrics on a consistent basis to provide business insights at scale.• Conducted opportunity sizing analyses to estimate quantifiable impact of features, designed and implemented A/B experiments to prove the impact, and conducted in-depth analyses on experiment results to make actionable recommendations to product managers.• Acted as the analytics team point of contact to support all analytics requests in an efficient and transparent manner. Developed effective communication channels between the analytics team and other stakeholders.

• Understood business processes, pain points, and business goals, gathered requirements by driving conversations with stakeholders• Developed strong partnership with executives and impacted them through detailed data analysis with actionable recommendations for decision making• Analyzed large amounts of structured data from a wide range of sources (Excel, Oracle, Hive, etc.)• Derived data insights by analyzing data and utilizing statistical principals• Conducted impact analysis for the post-sale divisions and CRM tools to understand their effectiveness and efficiency• Developed ad hoc reporting/data insights to address immediate business needs• Created data visualization dashboards in both Tableau and Wave analytics to enable self-service data insights

• Performed Journal Entry testing to reconcile trial balances to underlying general ledger activity and search the general ledger activity for unusual or high risk activity on 19 projects over various industries using ACL data analytics tools• Applied general programming and Excel knowledge to transform data to ease analysis• Used software Monarch to identify text and pdf data display patterns and use indicator to convert them into an analyzable tabular format• Won the 2nd place of a national ARCA intern data contest by working with a team of four to develop a predictive model to predict the probability of interns receiving full time offers using history data and communicated findings through Tableau dashboards and PowerPoint video submission• Prepared deliverables for review, handled review comments and responded to reviewers and communicated report summary with the audit team