Jian Shun

Researcher | Data Scientist | Aspiring Analyst

All models are wrong, but some are useful - George E.P. Box

About Me

A little information on myself! Originally, I graduated with an Economics undergraduate degree before venturing into Academia; I took up a position as a former research assistant in Marketing and worked on various projects then; this was in preparation for a PhD candidature. While experiencing work as an Academic researcher, I learnt that I yearned to contribute to business organisations; I decided to leave Academia and venture into the realm of Analytics and Consultancy in hopes of developing my potential at making an impact on society. Thereafter, I completed my Masters in Analytics and Management at London Business School and ventured into a data science role to better understand how data drives business. Armed with my newfound experiences, I now aspire to drive business actions and develop business solutions through rigourous data analysis and accurate data reporting, all the while remembering that the narrative is king. Here are a few technical skills that I have developed along the way:
  • R
  • SQL
  • Python
  • PySpark
  • STATA
  • HTML (Basic)
  • Tableau
  • Databricks
  • Redshift
  • Github
  • Anylogic
  • Vensim

Experience

Data Science Intern - Decathlon
Jul 2023 - Dec 2023

While seeking out Analytics roles, I was fortunate to be considered for and offered a data science internship by sporting retail giant Decathlon. Naturally, I jumped upon this opportunity since I had always wanted to fully understand how data science contributes to business decisions.

  • Spearheaded an unprecedented country-level fraud detection and refund abuse project involving fortnightly discussions with operations manager and finance team; built an automated rule-based and Isolation Forest model, and launched dashboards to minimise manual man-hour refund tracking
    • Identified 2 past known fraud cases amounting to ~$10000 during backtesting and flagged more than $100000 of refunds as potential abuse from customers ○ Dashboards and findings were actively used at the leading team’s board meetings to propose a reversal to and an implementation of 2 major company policies
    • Helmed a joint venture with external statutory board SportSG through geographical dashboarding and crafting strategic recommendations for the Swimming department. Presented findings to SportSG’s senior management
  • Initiated a store expansion roadmap and presented prototype dashboard to country Expansion Leader; identified 2 prime locations for new store openings within the next business year
  • Performed same-day data extraction (SQL) and big-data manipulation (Python and PySpark) for ad-hoc data requests from various arms (CRM, Sustainability, Store Leaders, etc.
Project Data Lead (Data Consulting Industrial Attachment) - Harrods London
Mar 2023 - Jun 2023

During my Masters’ industrial attachment in London, I led an ethnically (from 6 countries) and professionally (from computer science, economics, and consulting) diverse team to work with Harrod’s Insights Analytics and Data team on a persona lifecycle analysis project. The findings were eventually presented to their senior management.

  • Expanded upon the existing static company-adopted persona K-medoids clustering model to allow internal stakeholders to determine a correct time to re-assign accurate personas to customers
  • Feature engineered early predictors of key customer personas – new customers with 4 months of data are now at least 5 times more likely to be correctly assigned initial personas – and delivered specific marketing campaign recommendations for early customer acquisition

I was a researcher at the National University of Singapore (NUS) working on the NUS SPIRE Project, an inter-discplinary study spanning across the Economics, Marketing and Sociology fields.

  • Served as the main econometric analyst for a 4-year long inter-disciplinary project studying the rise of the Chinese Communist Party in the 1940s where I performed quantitative data analysis using econometric and statistical models
    • Used conditional logit regression, spatial regression and mediation analysis via programming software STATA and R
  • Partnered a small foreign bank to increase its efficiency of debt collection
    • Performed data extraction and cleaning, followed by natural language processing (NLP) analysis and data visualisation using R
  • Conducted field research spanning 156 interviews with taxi drivers
    • Data obtained was eventually used in a Behavioural Economics paper to derive support for the reference-dependent preferences theory over the neoclassical labour supply model and to identify important managerial implications
  • Copy-edited 5 academic papers; these were eventually published in leading academic journals such as Proceedings of the National Academy of Sciences, Marketing Science, and Management Science
Intern (Rescinded due to Covid-19) - Revenue Management Solutions
Jun 2020

I was supposed to intern here as a Transaction segmentation analyst. However, I was told after Covid-19 was declared a pandemic that due to the uncertainty of the situation, RMS would be cancelling the internship opportunity.

  • While I may have missed an opportunity to intern here as an analyst, this was essentially my first step into the world of analytics
  • I took the opportunity to learn the Python language and read up on techniques such as Latent Dirichlet Allocation and Natural Language Processing in preparation for the internship
  • It was also thanks to this stint that I decided to venture into Machine Learning and Predictions in my final undergraduate year; this also kickstarted my journey into analytics and contributed to my current decision to do a Masters in Business Analytics
Intern - Monetary Authority of Singapore
Jun 2019 - Aug 2019

I interned at the Monetary Authority of Singapore (MAS), the central bank within Singapore.

  • Proposed the inception of a novel special purpose reinsurance vehicle after executing jurisdictional scans across selected countries worldwide and brainstorming regulatory mechanisms
  • Analysed driving forces behind industry trends, leveraging data of 107 insurers, to identify patterns on both sector and company levels within the insurance industry
    • Findings were presented to senior management at a department meeting in a bid to assess the risk and financial health of each insurer within Singapore
  • Extracted overarching themes found in qualitative responses, of 19 life insurance companies, to a parallel run survey comprising 20 unique questions
    • Results obtained could allow the central bank to more effectively understand challenges faced by life insurers and thereby redesign its approach when working with them
Photography and Photo Editing - Recreational Photography
Jan 2020 - Present

I have always been an avid explorer who enjoyed documenting my escapades around the globe. After I purchased my first DSLR camera, there was no turning back

  • Dabbled in landscape photography and astrophotography
  • Familiar with techniques and terminologies used within photography
  • Learnt various photo-editing tools such as Photoshop and Lightroom
Soldier (Military, National Service) - Republic of Singapore Air Force
June 2015 - Dec 2016

I served in the Air Force for my country’s national service over the course of 2 years

  • Selected as 1 of 13 Air Traffic Controller Officers for fighter aircrafts and underwent rigorous training that involved heavy multitasking, communications coordination and split-second decisions
    • Suffered an ACL tear in the left knee in the process and went out-of-course as a result
  • Served as an operations controller in an operations room at a squadron overseeing the logistical needs of an Airbase
    • Received the Outstanding Serviceman of the Month Award
    • Prepared and conducted daily briefings to a squadron of 100 soldiers including senior officers

Education

2022 - 2023
Master of Analytics and Management
London Business School (LBS)
Undertook a 3-month consulting project with SCOPEinsight, a Netherlands-based Agribusiness Intelligence firm. My team, comprising 3 other MBA students, worked with 12 different lenders from Africa, ranging from Financial Institutions to Micro-Finance Lenders and NGOs. This project saw us collaborate with SCOPEinsight’s CEO and product owner and we eventually delivered a business model and market research report informing them of potential growth areas in the industry
2017 - 2021
Bachelor of Social Sciences with Honours (Economics)
National University of Singapore (NUS)
GPA: 4.85 out of 5.0
  • First Class Honours
  • Dean’s Scholars List (Top 1% of faculty), Faculty of Arts and Social Sciences (2019/2020)
  • Dean’s List (Top 5% of faculty), Faculty of Arts and Social Sciences (2018/2019)
  • Student Exchange Programme to Stockholm School of Economics

Extracurricular Activities

  • Competed in Inter-Faculty and Inter-College competitions for 3 consecutive years in both Table Tennis and Tchoukball
  • Member at NUS Recreational Volleyball Club

Undergraduate and Masters Works

London Housing Price Predictions
Predictions Housing Machine Learning R
London Housing Price Predictions
This work is the write-up for my project to predict housing prices in London. The corresponding R codes can be found in the R projects section.
Volatility Forecasting for Bitcoin
Economic Forecasting Time Series GARCH model STATA
Volatility Forecasting for Bitcoin
The objective of this paper is to examine whether asymmetric (leverage) effects common in many asset classes are applicable in forecasting Bitcoin volatility, as well as to inspect the forecasting power of the models across various forecasting horizons.
Bankruptcy Forecasting
Machine Learning Prediction Boosting R
Bankruptcy Forecasting
This paper seeks to explore company bankruptcy prediction; spotting a company that is on the verge of bankruptcy would create lower investor risks and create growth opportunities.
The Romantic Self, Film Noir and Science Fiction in Blade Runner
Philosophy Existentialism Film
The Romantic Self, Film Noir and Science Fiction in Blade Runner
In this essay, I explore the philosophy behind the classic film Blade Runner, positing that the romantic self lies at the heart of Blade Runner’s film noir, first born through the film’s dystopia, then evinced by the juxtaposition of differing selfhoods through character development, and finally immortalised in the dramatic confrontation between Batty and Deckard.
The Aftermath of Greek Debt Crisis
Economics Systems Dynammic Modelling STATA SVAR
The Aftermath of Greek Debt Crisis
In this project, we focus on Greece’s decade-long battle against soaring (1) unemployment and (2) weak economic growth triggered by the European sovereign debt crisis. This report provides an initial evaluation of Greece’s past and current policies and suggests alternative policies that the Greek government could adopt to resolve the problems.

Additional Information

Table tennis competitive player
Trained with various table tennis interest groups and participated in inter-faculty (University) and inter-CC (Community Club) tournaments over a span of 6 years
Coach and Manager (Tchoukball)
Held coach and team manager roles in 8 different tchoukball teams over 6 years; these teams achieved various podium finishes in various annual leagues
Self-taught pianist
Learnt the piano over the course of 12 years. Transitioned from classical music to movie soundtrack epics and pop pieces

Get in Touch

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