Welcome.
Lai Chun Kit (MrBigPao) - Junior Data Analyst at CG Ikhlas - Financial Mathematics Student
I turn Shopee, Lazada, Meta ads, affiliate, promotion, and sales data into clear dashboards, ads analyzers, review decks, and internal tools.
Skill Snapshot
My strongest area now is turning messy marketplace exports into useful business review tools: Shopee/Lazada ads analysis, Honeywell affiliate and creator follow-up, ASUS monthly review decks, PIH v3, CGI Hub screens, and proof-ready reports for people who need quick decisions.
I clean Shopee, Lazada, Meta, affiliate, voucher, keyword, campaign, and SKU exports, then turn them into ROAS reviews, budget checks, creator actions, and management summaries.
I build repeatable workflows that turn raw exports into HTML, PDF, and PowerPoint outputs for ads, affiliate, product, voucher, and monthly review reporting.
I connect pages, APIs, storage, and validation logic into tools for price review, market watch, product catalog checks, promo tracking, and daily account monitoring.
I design review screens, filters, proof galleries, image modals, status labels, and responsive layouts so non-technical users can inspect results without friction.
I use models when they answer a clear research or business question, including Tesla sentiment forecasting, ASEAN recovery forecasting, and practical feature checks.
Shopee/Lazada Ads Analyzer
I built an ads performance workflow that turns campaign and keyword exports into practical decisions, including wasted budget, traffic leaks, ROAS winners, and direct/guided GMV movement.
Honeywell Affiliate & Ads
I combine affiliate exports, sample-request scrape data, product performance, and marketplace ads into review reports that show which creators, products, and campaigns need attention.
ASUS Review Automation
I automate monthly review outputs around Shopee/Lazada sales, funnel movement, ad ROI, vouchers, campaign results, top SKUs, missed opportunities, and next-campaign planning.
PIH v3 & Marketplace Hubs
I build internal screens and validation workflows for price review, market watch, product catalog checks, promotion tracking, and SKU monitoring across CG Ikhlas and Honeywell accounts.
Research & Forecasting
My research and competition work trained me to prepare data carefully, compare models honestly, and explain results clearly, from Tesla sentiment forecasting to ASEAN recovery dashboards.
Product Thinking & UI
From Nomsim to this portfolio, I keep improving how users interact with my work: proof images, image modals, responsive cards, readable report screens, and download-ready supporting documents.
Built a C# Unity game that helps users understand savings and mortgage choices through simple simulations and real-time feedback. The project won Silver Medal at Carnival Innovation UMT.
Led a team project that combined an interactive dashboard with ARIMAX/LSTM forecasting to explain post-pandemic economic recovery. We placed 3rd in RASIO 8.0.
Developed my FYP on Tesla market movement using news sentiment, market data, macro indicators, and ARIMAX/LSTM modelling.
Nominated to represent FSKM at Student Research Day 2025, where I presented my FYP research to a wider academic audience.
Started with weekly price checks and reporting, then built tools that helped automate pricing review, campaign extraction, competitor monitoring, and marketplace analysis.
Continued as a full-time Junior Data Analyst, expanding internal marketplace portals and recurring Honeywell/ASUS reporting workflows across ads, affiliate, promotions, and 450+ SKUs.
Marketplace reporting and automation are the main focus here: practical dashboards, analyzers, and report generators built from Shopee, Lazada, Meta ads, affiliate, voucher, campaign, and SKU data.
A Streamlit and PDF reporting workflow for Shopee and Lazada ads performance, covering campaign and keyword ROAS, spend, CTR, direct/guided GMV, top products, wasted budget, traffic leaks, and scale-winner actions.
Reporting workflows that merge Shopee affiliate exports, sample-request scrape data, product performance, and Shopee/Lazada/Meta ads into HTML/PDF/PPT outputs with creator scoring, ROAS, keyword waste, budget signals, and follow-up actions.
Internal web portals for CG Ikhlas and Honeywell marketplace accounts, covering price review, promotion tracking, competitor monitoring, and daily reporting for 450+ SKUs.
An internship project that grew from manual price checking into a Python-supported pricing workflow, helping the team review more SKUs with cleaner validation and reporting.
A PowerPoint and HTML deck generator for ASUS monthly reviews, built around Shopee/Lazada sales, funnel, ads ROI, vouchers, promotions, top SKUs, missed opportunities, and next-campaign planning.
My final-year research project compares statistical and deep learning approaches for forecasting Tesla market movement using news sentiment and market indicators.
Built an ASEAN economic recovery dashboard with ARIMAX/LSTM forecasting to support clear discussion around post-pandemic trends and policy scenarios.
A C# Unity learning game that helps users compare savings, fixed deposit, loan, and mortgage choices through interactive feedback.
Open to data analyst roles, practical automation work, and projects that turn messy business workflows into clear tools.
