I analyze and model data to strategize pricing and improving profitability.• Developed pricing strategies that lowered losses by $xxM annually; identified critical features that impacted profit by enhancing and pre-processing data, leveraging classification models (decision trees, random forests, stepwise regression, AdaBoost) using SQL and SAS, collaborated with IT to implement changes and measured impact.• Advocated policy changes by analyzing risk-reward trade-off of giving loans to previously unserved pockets using analytical frameworks (opportunity sizing, impact analysis), ensuring market share expansion by xx% and profit increase by $xxM.• Collaborated with stakeholders to create pricing strategy for exclusive partnerships and evaluated impact using hypothesis testing delivering volume increase of xx% for partnerships.• Pre-empted impact of market forces by leveraging analytical frameworks (sensitivity analysis, adverse selection) to optimize pricing grid, assuring ROA of xx% while maintaining volume. Differentiated strategies for new and used cars by evaluating impact of brand-level supply chain issues on car loan performance using market research and multivariate analysis.• Defined metrics for credit performance by summarizing data for different time windows and using moving averages, automated loss performance forecast using SAS and Excel.• Presented insights to executive leadership and got buy-in for recommended price changes to enhance decision-making.

• Research Assistant under Prof. Seth Guikema- Identifying the salary biases among the faculty at the University of Michigan using statistical analysis and regression- Simulation of water pipeline network and water tanks in Ann Arbor using Python and EPAnet for OneConcern

Project: Vehicle Routing Optimization for Fleet Management- Developed a proof-of-concept in Python to automate the routing module of Real Green’s flagship product using operations research concepts such as travelling salesman problem, knapsack problem and orienteering problem.- Broke the requirement into solvable problems and prioritized use-cases with the help of stakeholder interviews.- Designed and tested performance of exact algorithm on sample data.- Conducted literature review on scalable heuristic algorithms.

I established the Programmatic Direct revenue stream in select domestic and global markets.- Established Programmatic Ads revenue channel in domestic & international Markets by interviewing and influencing media buyers, increasing the annual revenue of the team from $10k to $1 million.- Pioneered and standardized innovative ad formats, targeting options and pricing models, by conducting customer interviews and collaborating with Product and Ad Operations teams, generating an incremental revenue of $500k annually.- Enabled regional sales teams to promote programmatic ads by designing and conducting training sessions for 30+ sales personnel on a quarterly basis, growing the programmatic sales pipeline from 2 to 50+ recurring clients.- Successfully executed 200+ ad campaigns by coordinating with internal and external stakeholders to ensure customer delight.

I led initiatives for driving efficient user growth using various online marketing channels- Strategized and implemented efficient user acquisition strategies by means of online marketing channels, an annual budget of $10 million and leading a team of 2.- Established multiple new partnerships to by executing test campaigns, analyzing their performance, negotiating costs, and getting management buy-in, to scale-up efficient user acquisition by 30%.- Generated actionable insights for executive leadership, by collaborating with Analytics teams and summarizing data findings to influence budget allocation decisions and prioritize select marketing channels & partnerships.- Translated user pain-points into new features for the Affiliate Management System by collaborating with the Tech team.- Improved internal processes by identifying gaps using tools like root-cause analysis and garnering stakeholder (Legal, Finance) buy-in for new processes, to improve partner NPS score by 10%.- Implemented new pricing models and bidding strategies by collaborating with Analytics team to improve efficiency metrics by 25%.- Increased organic App Installs by 10% by collaborating with the Design team to design and A/B test creative assets & messaging,

Project: Understanding & Evaluation of Traditional Insurance PoliciesI designed a ranking framework for traditional insurance products, specifically life insurance products, by means of bench-marking and comparable analysis. I identified parameters impacting the performance of these products & organizations through extensive market research.

Project: Micro-controller based Data Acquisition System using PID controller