Key Responsibilities• Help advertisers measure the impact of their campaigns using surveys that run-on Facebook.• Handle the division of responsibilities among the team of 8 members.• Work with CSMs and the engineering teams to clear out all the bottlenecks faced by the team.Key Assignments• Lift Analysis- Performed lift analysis to measure how a campaign impacts any key metric- Evaluating campaign performance by leveraging the statistical concepts of A/B testing and Logistic Regression in R- Enabled marketers to quickly identify and cut the campaigns that aren’t working, and continue to optimize the ones that are, to drive the best results over time.• Scaling up the process to handle upto 700 reports in a month- Train all the new members and resolve all the issues faced by the team- Built a comprehensive module in R for automating the analysis - Act like a bridge between the engineering and the core team to automate the entire process.• Built dashboards in Tableau- Designed and made a dashboard which can be used by client solution managers to review how their surveys are performing. In turn reducing the write backs of the team.- Created a norms dashboard that helped clients in understanding survey performance benchmarks based on metric type, region, placement type etc.

Key Responsibilities • Deliver well-structured data analysis through reporting, dashboards, modeling and trend analysis • Perform drill down analysis of key business problems, interpret results, generate insight and recommend strategies • Develop creative and lasting solutions for organizational needsKey Assignments • Customer segmentation and migration analysis - Performed segmentation of customers similar to RFM metrics, to optimize targeting strategies - Provided recommendations on segmentation methodology changes so as to better design the campaigns for efficient targeting • Customer loyalty rewards program model - Formulated a tiered customer loyalty rewards model - Determined the appropriate slab for dividing the customers into buckets - Determined the expected increase in cost using variables like sales, payment behaviour, already availed discounts and product mix sold by dealers • Sales analytics - To analyze the sales trends and performance product wise, region wise, customer wise - Highlight the reasons for the sales numbers identified. • Digital advertising analytics - Created a report suggesting the relevant keywords to be used for search advertising. - Suggested the target audience for the display ads backed with targetable inventory analysis - Formulated media plans and made budget allocation decisions - Analyzed the performance of these campaigns on weekly basis

Future Trajectories of eMARTObserved the working of APOnline Pvt. Ltd and how APOnline is providing a platform to eMART.Observed the functioning of eMART and identified the best practices across India.Interviewed the vendors on eMART and understood their strategies.Collected and analyzed the feedback from the franchisee owners to identify the reasons behind not adopting eMART.Suggested steps that can be taken for the better growth and profitability of eMART.Forecasted the future trajectories of eMART’s profitability.