> For the complete documentation index, see [llms.txt](https://thudang.gitbook.io/dataland/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://thudang.gitbook.io/dataland/master.md). # About me My name is Thu Dang (pronounced like 'too dang') and I am an aspiring Data Scientist. ![](/files/H89UnA6ZwWWKrdNt4lzb) I'm currently studying Applied Mathematics and Statistics with a concentration in Community and Global Health at Macalester College. This past summer, Summer 2022, I got an opportunity to be a Data Scientist Intern at an NYC-based startup called Up\&Up - a Series B tech-enabled real estate startup that helps renters build wealth like owners, backed by Founders Fund, Khosla Ventures, and strategic angels from Opendoor, Morgan Stanley, JP Morgan, and Millennium. Before this internship, I've accumulated my skillset in various internships, ranging from analytics to consulting. Some of my milestones are: * 2021: Summer Analytics Consultant at Deloitte Consulting in Singapore * 2021: Case Team Assistant at Boston Consulting Group (BCG) * 2020: Data Analytics Intern at MoMo, a tech unicorn in Vietnam * 2019: Strategy and Insights Intern at Mindshare, a leading global media agency As I discover my passion in the intersection of business and data analytics, I would love to combine my skills in these fields in order to deliver data-driven insights for business problems. I am well-versed in R, Python, SQL (BigQuery), and DataStudio. During Deloitte, I also get acquainted with Google Cloud Platform and its services, including Cloud Run, Workflows, and BigQuery. At Up\&Up, I gained more knowledge in Retool - a website building service - and different visualization platforms such as Mode and Metabase. You can find my GitHub here: For GitHub readers, you can visit my GitBook here: --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://thudang.gitbook.io/dataland/master.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.