Mar 2023 – May 2024 · 1 yr 2 mos · Toronto, Ontario, Canada · Hybrid

• Leveraging digital data and analytics techniques to create optimized user experiences for insurance clients
• Orchestrated A/B test to compare client journeys for an email campaign; led content collaboration, implemented landing page tagging, and presented actionable insights to stakeholders
• Developed user personas and personalized life insurance webpage content using clustering analysis of customer data, enhancing engagement through tailored client experiences
• Automated content search and management across RBC Insurance site pages using Python and Selenium, mitigating manual search inefficiencies within the team

Aug 2022 – Mar 2023 · 7 mos · Toronto, Ontario, Canada · Remote

• Enabled development and evaluation of a tool to resolve stranded inventory issues in retail supply chain
• Implemented ETL job to identify daily stranded inventory levels to load it as input into the tool, which moves the inventory, thus making it available to customers
• Set up monitoring by visualizing daily stranded inventory levels and inventory movement achieved by the tool
• Correlated inventory moves with the trend in seller complaints to quantify the tool's impact on reducing the complaints and improving seller experience

Oct 2021 – Jun 2022 · 8 mos · Toronto, Ontario, Canada

• Worked with the data science team at the Li Ka Shing Centre for Healthcare Analytics Research & Training (LKS-CHART)
• Developed a classification model to predict nurse absenteeism from past assignments; incorporating the predicted absence probabilities into the current nurse assignment tool used by the Emergency Department
• Reformulated the mixed-integer programming-based assignments tool to make it robust to last-minute nurse absence to prevent manual changes, improve job satisfaction and save costs

Apr 2019 – May 2021 · 2 yrs 1 mo

• Awarded fast-tracked promotion as a result of exemplary performance in the previous role. In addition to the previous role:
• Spearheaded a team of 4 to conduct offsite data-based reviews of critical lending processes in the bank. Identified and plugged major process gaps, thus preventing penalties from the regulator
• Developed a comprehensive risk-based ranking of audit units using data from multiple sources (audit reports, fraud cases etc.) to prioritize audits thus optimizing the department's resources

Jul 2017 – Mar 2019 · 1 yr 8 mos

• Joined as one of the first analysts working on strategic initiatives in Internal Audit at one of India’s largest private banks
• Facilitated oversight of the Internal Audit department by designing 50+ KPIs and plotting them on an interactive dashboard on Tableau for the Chief Audit Executive
• Investigated fraudulent transactions and identified destination of embezzled funds by plotting network graphs in Python on transactions of $42 million
• Optimized efficiency of account sourcing by analyzing data of 1.2 million rejected application forms in Oracle SQL
• Automated generation of quality check summary for 4000+ Internal Audit reports through Excel VBA. Enhanced the efficiency of the central quality assurance team by 33%

May 2016 – Jul 2016 · 2 mos · Bhopal

• 1 of 2 people selected from 200+ applicants for the prestigious summer internship to work with operations team on reducing packaging losses and reducing consumer complaints
• Automated the collection and storage of packaging losses data to investigate root causes of the loss. Set up regular reporting of the data to Operations Head and implemented changes for an eventual 25% reduction
• Benchmarked the extent of customer complaints with P&G plants globally to develop a road map for zero complaints. Formulated plans to plug loopholes in quality systems for a 23% reduction in complaints