About
Aspiring Quantitative Trader/ Researcher with an interest in data-driven decision making
Final year Business Analytics student in National University of Singapore - School of Computing
- City: Singapore
Growing up, i've always had a keen interest in maximising efficiency and i've always strived to do so in all aspects of my life, including studying, investing and in my day-to-day actions. This love for optimisation, coupled with my interest in programming and coding fuels my passion towards the field of analytics, unpacking and managing different aspects of life with data-driven insights and logic. Through my work and internship experiences, my key aim is to understand the role of analytics and efficiency in various sectors as i believe that these core principles are the most directly transferrable and utilisable across all industries.
Skills
Resume
Education
Bachelor of Science: Business Analytics
2020 - Present
School of Computing, National University of Singapore
- Final year student studying Business Analytics with a Minor in Economics
- Member of the NUS Track and Field Team
Raffles Institution
2016 - 2017
Singapore
- Physics, Chemistry, Mathematics and Economics at a Higher 2 Level.
- General Paper and Project work at a Higher 1 Level.
- Member of the Track and Field Team Executive Committee
- Attained 1st Runner Up in the 2017 A-Division Pole Vault Event
- Colours Award Recipient in 2016 and 2017 for outstanding sporting performance
Professional Experience
Quantitative Reserach Intern
May 2023- Present
WorldQuant
- Research and development of systemic financial strategies across global markets using various datasets.
- Development of scripts using Python for analysis of datasets and robustness of Alphas generated.
- • Creation of C++ modules for code optimization and application of ideas into Alpha generation.
Software Engineer Intern
Dec 2022- May 2023
Government of Singapore Investment Company (GIC)
- Contributed to the development of a Private Markets Data Ecosystem Application's User Interface from scratch using React.js as well as Test-Driven Development and Behavioral-Driven Development methodologies.
- Built and maintained the application's backend using Snowflake Database, AWS Lambdas and Glue Functions, and Restful APIs, ensuring efficient data flow and processing.
- Developed and maintained features of the data ingestion and processing infrastructure, enabling seamless data integration and analysis.
- Implemented end-to-end testing flows for both the Front End and Back End infrastructure using GitHub Actions, Cypress, and SonarQube, for improvement in application stability and reliability.
Data Analyst Intern
May 2022- December 2022
Tinvio
- Leading a project on re-vamping company's current Fraud Detection Engine, involving both a Front-End revamp as well as updates in fraud detection rulesets.
- Resolved data extraction tasks involving creation of dashboards, SQL/Postgre Queries and adhoc data-related requests
- Led the creation of data pipelines between the company's database and third-party payment applications, including creation of tables, ER-diagrams and optimization.
Data & Strategic Insights Intern
Jan 2022 - April 2022
Media.Monks
- Research & extraction of key datapoints which were were essential for various projects.
- Understanding the usage of tools such GWI, Sprinkler and Meltwater used for in-depth market research as well as social media listening
Capability Enabling Intern
May 2021 - Aug 2021
Maritime Port Authority of Singapore
- Research & Reccomendations on current policy implementations & guidelines for recipients of MPA Grants
- Developed a data extraction tool using Python & Py-Tesseract Library to aid in automated retrieval of data from financial statements through Optical Character Recognition.
At MPA, one of my roles was to understand research and understand current MPA Grants rolled out and
through detailed cross-referencing various Management Associate Programmes through other government sectors
and private sectors.
Another aspect of my role was the development of a data extraction tool that utilised Optical Character Recognition
through the Python Py-Tesseract Library and Pandas Library to automate data extraction from financial statements, regardless of
Scanned or PDF Copies. Additionally, i also created various Python Scripts which automated the data extraction from various
MPA forms into easily extractable excel sheets.
This internship helped me to understand a lot about the fundamentals of programming, writing efficient, understandable and well
documented code. Furthermore, the in depth work with the Pandas and Py-Tesseract Libraries helped me to increase my
professional competence with programming in Python.
Business Development Manager
December 2019 - June 2020
Prudential: TSS & Associates
- Strategic Planning to boost Sales & Staff Morale
- Analytics of Sales Data for Forward Planning and Analysis
In this role, i was incharge of Strategic Planning to boost Sales & Staff Morale, as well as analytics of sales data
using Microsoft Excel for enhanced forward planning.
With my limited understanding of programming & data analytics, I attempted to generate reports for all 15+ Members in the
sales team, with metrics such as Top Product, Best Quarter and
Year on Year Trends.
Personally, i felt that this experience gave me my first taste of data analytics and understanding the importance of it especially in
such a fast paced industry such as sales.
Portfolio
Through my various internships and school, i have also embarked on several coding projects as well as coding competitions. Personally i found that these projects helped to constantly push me to think more efficiently and out of the box, to create interesting application ideas and solved coding problems
- All
- Projects
- Coding Competitions
FriendNUS
FriendNUS was an application during a Software Development Module(Orbital) developed to help NUS Students to find friends in school during the trying time of COVID19. The application matched users based on their hobbies and allowed them to chat with one another including other functions such as group chats and adding friend functions.
Crypto Portfolio
An application created during a Web-Development Module, created this application helped to hone my understanding of utilising HTML, CSS, Javascript, Vue.js and firebase to create an integrated application.
EduSkool
An integrated application created as a tool for enrichment centers, targetted at upper primary kids where they could engage in self-directed learning through online videos and quizzes. Some key features include a competitve leaderboard to incentise the students to consistently engage in the learning tool, as well as metrics for the teachers to track the progress of their students
Shopee Coding League 2022
Participated in the Shopee Coding League 2022, where my teammates,Brian and Danyel, and I were 600th out of over 2500+ participants in the competition. While we were unable to qualify for the finals, it was our first time partcipating in a Hackathon and this experience has definitely motivated us to sign up for more hackathons in the future to continue fueling our keen interest in programming.
