A data-science journey that started 9 months ago

After an intensive and challenging AI and machine learning bootcamp together with the California Institute of Technology (Caltech) that started in August 2022, I am happy that I have successfully completed the program and acquired a strong proficiency in data science techniques. The bootcamp provides a comprehensive curriculum and includes blended learning methods such as live online classes, self-learning videos and computer lab exercises, computer simulation assessments and real-world projects that had to be completed. We covered a variety of topics including Python for data science, machine learning, deep learning techniques, computer vision, natural language processing, or reinforcement learning. With this newfound knowledge and skill set, I am now capable of further leveraging data-driven insights to address complex problems across various industries and sectors.

I am excited to apply this skill set going forward to my academic research but also hands-on to business problems as well as data-driven policy advice. In research, I can collaborate with academic institutions and organizations to apply cutting-edge data analysis techniques, such as NLP, computer vision, or predictive analytics. My expertise also extends to consulting on business problems in different industries, where these methods can be applied to different use cases such as optimization problems or how to improve customer experiences through data-driven decision-making. As a trained economist with a focus on finance (especially corporate finance and capital markets), I have, of course, a competitive advantage in applying these techniques in related settings. But our practice projects introduced us to a variety of sectors such as healthcare, in which these skills are valuable. Here is an overview of some projects we have completed during our bootcamp across industries using different data sources in the form of time-series, text or digital images.

In today's increasingly data-driven world, proficiency in data science is not just an asset but a necessity. By harnessing the power of data, I am committed to driving positive change and advancing the frontiers of knowledge. Whether it is through uncovering patterns in vast datasets to support scientific research, training my students to apply these methods, guiding businesses to make better decisions, or advocating for data-driven policies, I am eager to contribute my skills and expertise to a wide range of projects and collaborations. If you are interested to know more about our projects or want to collaborate, please reach out.