Zappos being a subsidiary of Amazon, well aquatinted with the AWS ecosystem• Performed ETL processes to define E-commerce KPI’s and translated them to an interactive dashboard on Tableau by analyzing trends, seasonality and business variables over time (Recognized Visits, Retention, Conversion, Search, Sizing, Prime Shoppers, FBA Cross Shop), helping stakeholders stay updated on business health and track the performance of their initiatives. The Dashboard is auto-updated on regular cadence using ETLM jobs and DAG tools.Provided insight into trends, identify opportunities/risk areas where appropriate and Engaged with the e-commerce team to optimize website, channel performance and funnel stages• Designed and executed A/B and multivariate tests using bootstrap hypothesis testing methods to drive fundamental improvements to the site experience, providing recommendations based on statistical results around the lift, sensitivity and error rate of the response variable/ key metric• Performed ad-hoc analysis of customer acquisition, segmentation and engagement initiatives and built machine learning models to help evaluate possible future retention • Developed and designed new consolidated logical and physical data models (DataMart) and assisted in developing a transition plan from existing data models (creating triggered views, star schemas, snowflake schemas, and highly normalized data models) for ease of data access and analysis• Assisted the marketing team in managing campaigns by performing exploratory data analysis and statistical tests (Linear & Time Series Regression) on the data to understand the effectiveness of promotions including but not limited to paid search, email marketing, and affiliates• Collaborated and gathered internal and external stakeholders business specifications in identifying the KPI’s to provide analytic support and insights for measuring the performance of their initiative and approaches within each area

• Conducted Time and Motion Studies to build a data repository for enhancing the gate management tool and performed statistical analysis improving the turnaround time of the flights• Performed quantitative analysis on unaccompanied minor data for deploying optimum escorts for accompanying them• Created an Agile dashboard to house all different analytics and reports within the pm software for tracking sprint, contingency, user, and tech stories for various features and visualizing them by creating Burn Up and Burn Down Charts

• Developed standardized dashboards and ad hoc reports removing dependencies on other SBU’s by 5 hours a day, with an emphasis on automation and scalability on Excel and SAS Visual Analytics• Initiated the recruitment module to provide visibility on the hiring process and built a business metrics for adoption and process flow generating scorecards for Talent Acquisition Managers (SAS)• Performed Regression Analysis and Hypothesis tests(T-test) for mean calculations to determine how performances differs across Job Profiles and determining how rating varies with experience• CX/CSAT: Developed Metrics to measure Customer satisfaction for end to end Delivery experience. Reduce Customer pain points and fake attempts through analysis and operational changes. Csat increased from 80 to 94%

• Developed processes and customized scripts to improve database management and business processes using SQL queries• Developed and updated spreadsheet-based models to estimate and forecast traffic and revenue with historic data using ARIMA model on R• Defined, implemented, analyzed, and tracked traffic data collection to traffic counts, market research surveys, opinion polls, and travel time surveys.

• Initiated the raw material planner in maintaining sufficient stock for smooth operation of plant and carried out CHAID/Decision Tree Analysis for blending of raw materials to reduce expenditure by 20% YoY• Interacted with multiple departments to gather reporting and visualization requirements to create reports/dashboards and simplify end user interaction