I work in Shopify’s merchant lending and credit space. Help assess risks and opportunities in Shopify’s credit portfolio.

As a direct report to the Senior Analytics Manager enabled data-driven decision-making by partnering with business-owners, agency partners, and operational stakeholders to generate insights and business intelligence.

• Built anomaly detection mechanisms using time series and isolation forest models to detect unusual sales activity and identify budding trends in the organization.

• Experience building advanced SQL queries to process large amounts of data incorporating complex calculations

• Designed 40+ Tableau dashboards used by C-level executives, program managers and sales operators

• Well-versed with tableau concepts such as LOD calculations and dashboard actions to generate advanced analyses

• Well versed with data cleaning, extraction and transformation using Python-SQL-R scripts

• Experience presenting analyses and findings to senior management, including the CMO of Orkin USA

• Created automated scalable data transformation and cleaning workflows using Python and SQL

• Improved Rollins’ churn reduction and loyalty program by designing LightGBM based model achieving 30% ROI

• Used Time series analysis with Bollinger bands to create anomaly identification mechanisms in business operations

• Improved Rollins’ customer mix by creating a Lifetime value maximization algorithm & generating ~$10M in CLV

• Saved 600+ hours of field workforce time by implementing an automated CRM lead import process using Python

NCR is one of the biggest players in the world in the self service terminal and Kiosk segment. My team at NCR was responsible for the development and support of Aptra Advance NDC(AANDC) which is one of the most widely used ATM software application worldwide. My role as a software developer was to work on feature improvements in AANDC. As a part of this, I developed a tool that automated and completely eliminated human error rate in the code tagging and and build verification process. This tool is used widely, on a daily basis by almost 100 software engineers within the NCR Financial services team. The technology stack used was Python and Django with HTML, CSS,Javascript and Jquery.

In addition to this I also have experience with the tools and software used by the AANDC team to create feature improvements within the AANDC product and fix bugs.