1. Closely partner with Product and Tech every day to optimize user journey through continuous experimentation on Capital One’s website (~25M visitors/month) through end-to-end ownership of experiment design and hypothesis testing. 2. Produce metrics such as measuring effectiveness of marketing campaigns, product enrollment, cross-sell, customer satisfaction, product revenue trends etc. for monthly business review which informs Capital One’s internal corporate strategy.3. Analyzed a pilot experiment to understand the effect of current marketing frequency vs. reduced marketing frequency on Capital One's premium set of customers with a goal to reduce marketing fatigue and encourage effective engagement. Upon the success of the experiment, the experience was broadly rolled out to the high value customers. 4. Ideate new experimentation ideas to support Product's effort to promote self-servicing of customer needs on capitalone.com and thereby reduce OpEX cost through call centers.5. Created an innovative solution to send proactive notifications to campaign owners before campaign expiration to enable initiation of extension requests and appropriate legal compliance well ahead of time. This automation saved ~96hrs annually for the Marketing Ops team.6. Currently, leading the charge on rolling out Optimizely as an enterprise-wide experimentation platform by creating analysis blueprints that will be adopted by 1500+ analysts and data scientists across the company.

Campaign Analytics, Multi-Channel marketing analytics, A/B testing, and experimentation

- Developed a Python scraper to web scrape details of MSBA alumni from online resources to analyze the growth of the program and the career path of the graduates over the years- Visualized the top 5 employers and industries of Carlson's MSBA program graduates

1. Client - Hospitality and Entertainment market leader in the Midwest• Generated a net revenue gain of $12K by predicting hotel demand for each customer segment on daily, weekly and yearly basis using XGBoost in Python • Performed K-means based segmentation to profile 800K unique customers; analyzed segments with highest churn using Tableau and R2. Client - Mall of America• Reduced inventory carrying cost of $1M and optimized product assortment through market basket analysis in R • Performed cost-benefit analysis across each product category and customer segments identified through clustering technique using R; defined metrics to improve customer experience