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Aziz Dahodwala has a diverse work experience in various roles and industries. In 2016, they worked as a Research Associate at Arizona State University, where they conducted research on different Machine Learning platforms and performed hyperparameter optimization. Aziz also published an interactive dashboard using Tableau and created macros in Excel for statistical analysis.

From 2017 to 2018, Aziz worked as a Business Data Analyst at McDonald's, where they analyzed and mined point of sale transaction data to drive pricing, marketing, and customer centricity. Aziz also built a churn prediction model and enhanced the marketing model's prediction accuracy.

In 2019, Aziz joined Santander Bank, N.A. as a Business System Analyst. In this role, they decoded complex AML business problems and requirements using Python, built statistical and quantitative models using big data for predictive analytics, and created dynamic analytical dashboards using MS Excel, Tableau, and Python.

In 2019, Aziz also worked as a Web System Analyst at Four Seasons Hotels and Resorts, where they played a role in the analysis and development of web systems.

Currently, Aziz is working at Darwin CX as an Analytics Developer, starting in January 2022. Prior to this role, they were a Data Analyst, Operations at the same company from October 2020 to December 2021.

Aziz Dahodwala received a Master's degree in Business Analytics from W. P. Carey School of Business at Arizona State University from 2015 to 2016. Prior to that, they obtained a Bachelor of Technology (B.Tech.) in Electrical Engineering from Nirma University in Ahmedabad, Gujarat, India from 2011 to 2015.

Additionally, Aziz has earned several certifications to enhance their skills. In April 2020, they obtained the "Advanced SQL for Data Scientists" certification from LinkedIn. In January 2018, they completed the "R Programming A-Zâ„¢: R for Data Science" certification from Udemy. Moreover, in August 2020, they became an "AWS Certified Cloud Practitioner" through Amazon Web Services (AWS).