Served as the Single Point of Contact (SPOC) for Analytics in the Bots Program, effectively managing communication and requests from various stakeholders across multiple teams.Developed the Bots Program from the ground up by monitoring bot usage and revenue across products, providing the FP&A team with critical insights for key decision-making.Designed and refined various Generative AI modules, including Self-Service Bots and Copilot, through iterative collaboration with multiple Product Managers and Engineers.Collaborated with cross-functional teams to gather requirements and ensure alignment on project objectives, fostering a cooperative work environment.Contributed significantly to the development of key Generative AI finance metrics, such as Opening ARR and Ending ARR, which are directly utilised in the Quarterly Earnings Report.Created a reconciliation mechanism using Python to accurately identify anomalies between data systems.Implemented performance optimization strategies for data processing workflows, leading to significant decrease in cost.Established and maintained comprehensive documentation of processes and best practices to ensure knowledge sharing and consistency.

As part of the product stack, developed, maintained, and monitored key data pipelines that support reports utilised by the Senior Leadership Team.Performed comprehensive data analysis to uncover trends and insights, driving strategic initiatives and improving operational efficiency.Collaborated with diverse stakeholders across Product, Engineering, and Sales to implement automated and standardised reporting solutions.Developed a real-time Slack alert system with a product usage score, enabling Account Managers to proactively engage clients with relevant product information, leading to increased conversions.Calculated performance metrics, such as average response time and average resolution time, across various accounts and industries, providing Product Managers with valuable insights to enhance product understanding.Played a pivotal role in evaluating the success of the in-product demo and presented the findings to the Chief Product Officer as part of the Product-Led Growth Squad.

Reported to the Associate Director of the Loyalty & Engagement Charter, delivering consistent and accurate reports on product health.Collaborated with business, product, and engineering teams to enhance data accuracy through feedback and effective front-end instrumentation.Analysed trends and customer behaviour to reassess customer experience metrics, implementing continuous improvements in processes and delivery.Compiled and presented findings on customer insights to the senior leadership team.Oversaw data requirements and validation for A/B experiments.Developed real-time dashboards to enable the business team to understand key performance indicators (KPIs) and take timely actions.Performed impact analyses to measure the actual improvements brought by the product(s) in terms of traffic, conversion rates, and other key metrics.Served as the analytics point of contact for Charm Price Analysis within the Hackathon team, developing a projection that could potentially generate an additional 300 crores in annual revenue.Played a key role in establishing an entire category from the ground up by creating tables and setting up key performance indicators (KPIs).Created analytical sales dashboards using Power BI to monitor key metrics effectively.Conduct weekly business reviews to perform deep dives and root cause analysis (RCA) on metric fluctuations.Contributed to various sprint planning and business analytical requests for the Stores business, resulting in improved platform conversion rates.Developed a Cost Per Mille (CPM) model to monetize the banners on the category’s homepage within the application.Collaborated with various city teams to address real-time challenges, including e-KYC funnel optimization and delivery optimization.Developed an orders projection model utilising conversion rates, leading to a 2-3% reduction in cancellations.

Monitored customer service agents' KPIs and provided daily reports to the Operations Manager.Participated in regular weekly reviews of metrics to assist stakeholders in making data-driven decisions.Presented and analysed weekly metrics, facilitating brainstorming sessions to generate ideas for reducing call drop rates.