SHREYA KAKKAR

Leading Analytics & Data Science tracks for Top Global Timeshare Vacation Company

• Driving multiple analytics and data science projects providing actionable insights to enhance business performance and drive revenue growth.
• Optimized Sales-Agent performance by analyzing variables associated with top performing agents.
• Established a data strategy to enhance digital tagging and foundational data by performing a comprehensive gap analysis between the current and desired state to deliver recommendations and an implementation plan.
• Developed a continuous monitoring dashboard to track KPIs, identify trends, and anomalies.
• Conducted a thorough analysis of Owner Usage data and developed a predictive model to predict the likelihood of Owners contemplating an exit of their vacation ownership interest (VOI).

Optimized and Improved Targeted Email Marketing

• Developed a fully-automated end-to-end solution integrating multiple Propensity models and Email-click forecasting models for precise email click predictions, resulting in a 120% increase in Click Through Rate (CTR) and Click To Open Rate (CTOR) compared to the legacy model for one of the world's leading hospitality company.
• Managed and led the project, ensuring seamless end-to-end delivery.

Customer Lifetime Value (CLTV) Driver Analysis

• Led the development of a CHAID model and conducted test control group analysis for Customer Lifetime Value (CLTV) Driver Analysis, enabling the identification of key drivers and profiling of top-tier segments to understand spending behavior, demographics, and customer attributes across various products, including stays, folios, and cobrands.

Digital Media Metrics & KPIs

• Developed diverse metrics for the US digital media sector, including subscription base, churn, customer return, and retention. Using PySpark to estimate subscription bases for digital video distributors like DTVN, Sling TV, and Netflix, providing insights with growth rate models.

Economic Forecasting & Analysis

• Estimated sales forecasts for a US medical equipment manufacturer using time series models.
• Implemented the Holston-Laubach-Williams paper to estimate natural interest rates, GDP, and output growth rates in major economies like the US and EU.

Developed 'Inflation Forecasting Model' for Fortune 500 clients, forecasting commodity prices

• Conducted fundamental and macroeconomic analysis using economic variables like Manufacturing PMI, CPI, GDP, and exchange rates.
• Built statistical models utilizing techniques such as regression analysis, time series analysis, ARIMA, and moving averages.
• Prepared technical analysis charts employing techniques like RSI, MACD, and Fibonacci retracements to validate price forecasting trends.

• Conducting market research to identify trends and gather information from multiple channels.
• Profiling key market players to analyze competitive landscapes and track developments.
• Estimating market sizes across different regions using top-down and bottom-up approaches.
• Utilizing statistical techniques like correlation and regression analysis to prepare market engineering sheets.
• Assisting in auditing reports to identify errors and proposing frameworks for analysis enhancement.

• Studied the inclusiveness of Chickpea value chain in benefitting small and marginal farmers in Andhra Pradesh.
• Explored key factors and supportive policies contributing to Chickpea revolution, focusing on post-harvest issues like storage, packaging, standards, and processing.
• Identified Chickpea movement along the value chain based on the number of value-added products.
• Analyzed value addition and calculated profit margins along the value chain.
• Examined constraints within the current value chain structure.