Many of our students are able to find summer internship, either by themselves or through our referral, in various industries. Below are some sharing from the students:
Gloria Andry Putri (Intern in HSBC)
Hi! My name is Gloria. In July 2022, I joined The Hong Kong and Shanghai Banking Corporation Limited (HSBC) as an intern in Commercial Banking, specifically in Business Banking - Strategy and Innovation.
Job Nature
My daily tasks include data analysis to understand client behavior in our platform, research, and engaging with clients. One of the biggest projects I was assigned to support was the launch of the new platform called Business Go which allows me to communicate with different teams and divisions including marketing, IT, content, and many more. BDAN has prepared me with the essential skills including excel, SQL, and presentations which I could apply directly to the projects.
Achievement and Learnings
During the internship, I was able to connect with like-minded people, have a better understanding of the business, and applied what I have learnt in university. Not to mention, my team has taught me on how to present data in a more efficient way to align with business expectations. This internship allowed me to find my passion in the financial industry and decide to pursue a career in banking.
Philomena Wang (Intern in Sigtica Limited)
Hi, everyone! I’m Philomena, a current student majoring in Business Decision Analytics. In the summer of 2024, I had the opportunity to intern at Sigtica Limited, a start-up firm where I worked as a data analyst.
Job Nature
Sigtica Limited is a dynamic and fast-growing startup, and I was thrilled to secure a role as a data analyst. My solid background in programming and data analysis tools helped me stand out during the application process. Through this internship, I realized how valuable technical skills in machine learning and natural language processing are in today’s job market. My prior experience with programming languages and statistical analysis gave me the competitive edge needed to land this exciting opportunity.
Learning and Achievement
This internship marked a shift from my previous experiences, as it was more focused on computer science and model development. Although I initially encountered challenges adapting to the technical demands of the role, my perseverance and problem-solving skills enabled me to overcome these obstacles. I successfully built and fine-tuned a prediction model for Named Entity Recognition (NER), automating the extraction of key information from IPO documents. By leveraging the Transformer library, I developed a model that achieved an impressive F1 score of 95%, streamlining the process of analyzing large financial documents.
Throughout the internship, I gained invaluable experience working with different NLP platforms, including spaCy, Transformer, and ONNX. I was able to convert models between these platforms seamlessly, which enhanced my technical expertise. The data-related courses offered by DAO Department were particularly rewarding as they gave me a solid understanding of big data operations and statistics which is very important in the Internet industry.