I clean sales, ads, and product data, then turn it into reports that show what changed and what needs attention.
Welcome.
Lai Chun Kit (MrBigPao) - Junior Data Analyst at CG Ikhlas - Financial Mathematics Student
I build practical reporting, pricing, and marketplace tools with Python, SQL, dashboards, and small internal web apps.
Skill Snapshot
I am strongest when a team needs real business data cleaned, repeated checks automated, and results turned into simple reports or internal tools. These levels come from internship and CGI projects, not only classroom work.
I clean sales, ads, and product data, then turn it into reports that show what changed and what needs attention.
I build scripts and small services that reduce manual checking, including collectors, validation rules, exports, and database jobs.
I connect pages, APIs, and storage into internal tools that marketing and operations teams can use without touching code.
I design review screens, filters, status labels, and mobile views that are easier for non-technical users to follow.
I use models when they help answer a clear business or research question, from forecasting work to category prediction and retraining.
Nomsim Unity Project
Nomsim was my first step into building something people could use. I turned saving growth, fixed deposit, loan management, and mortgage decisions into a C# Unity learning game with simple rules and immediate feedback.
RASIO 8.0 Data Science
For RASIO 8.0, my team built an ASEAN economic recovery dashboard using World Bank and IMF data. I worked on the data preparation, forecasting workflow, and presentation of trends for post-pandemic recovery.
Final Year Project
My FYP focused on Tesla market forecasting. I collected news and market data, prepared sentiment and technical features, then compared statistical and deep learning models to understand which signals were useful.
SRD 2025 Nominee
After completing the FYP work, I was nominated to represent FSKM at Student Research Day 2025. This pushed me to explain the research in a clearer way for people outside my project scope.
Internship + PIH Mini Projects
During internship, I moved from manual Shopee price checks and KPI dashboards into semi-automated pricing sheets, product strategy analyzers, campaign extraction, Chrome collectors, SQL staging, and the Price Intelligence Hub V3 workflow.
CGI Work Experience
After internship, I continued improving internal tools such as CGI Hub, Honeywell Hub, supplier claim tracking, Shopee/Lazada ads analysis, ASUS review slide generation, and category model training for product organization.
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, improving internal hubs and trackers with Python, Docker, Nginx, and secure deployment workflows. The tools support daily monitoring across 450+ SKUs.
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.
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.
Internal portals for market monitoring, pricing review, and marketplace analytics, deployed for daily use by the team.
A Dockerized internal tracker for supplier claims and replacements, routed through Nginx and protected with Cloudflare access controls.



































Open to data analyst roles, practical automation work, and projects that turn messy business workflows into clear tools.
Email Me