Kal M

Developed and implemented data and machine learning strategies to drive revenue growth, markdown optimization, and client acquisition/retention. Created and deployed XGBoost regression models for offer redemption probability, product purchase probability, and future sales forecasting.

Taught Forecasting and Time Series Analysis to Master of Science Data Analytics students. Provided comprehensive instruction on advanced statistical methods and their practical applications.

Collaborated with marketing, finance, and legal departments to develop data analyses for managerial decision-making across various financial products. Created comprehensive reports on marketing trends, campaign effectiveness, buyer behavior, and customer retention.

Applied SAS programming, SQL data management, and statistical modeling to implement quantitative marketing analytical tools for clients like Cheapoair.com and Shutterfly.com. Developed a Time Series predictive model to forecast customer product and discount preferences.

Conducted in-depth analysis of profitability for Foreign Direct Investments and US Direct Investments Abroad. Investigated the impact of trade liberalization on stock market indices in major economies and performed Multivariate Time Series Analysis of Real Estate values.

Developed an interactive reporting and analysis application for Small Business Administration loans. Created an index to gauge the state and trend of the US small business loan market.

Pursued a PhD with a specialization in Financial Economics and International Trade. The doctoral studies involved in-depth research and analysis within these economic fields.

Completed a Master of Business Administration with a focus on Asset Management and Corporate Finance. This program provided a strong foundation in financial principles and investment strategies.

Obtained a Master of Science degree in Finance. This program focused on advanced financial concepts and analytical techniques.