Welcome.

I turn messy business data into useful tools and clear reports.

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.

450+ SKUs monitored daily
3.83 Current CGPA
3rd RASIO 8.0 result

Practical Skills, Backed by Projects

Skill Snapshot

Where I can help right away

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.

Best at: analytics + automation Improving: frontend polish + modelling
Data Analytics & BI Strong - 88%

I clean sales, ads, and product data, then turn it into reports that show what changed and what needs attention.

Python SQL Power BI Excel ROAS / GMV
Backend & Automation Strong - 84%

I build scripts and small services that reduce manual checking, including collectors, validation rules, exports, and database jobs.

Flask FastAPI SQLite Collectors Excel COM
Full-Stack Internal Tools Solid - 80%

I connect pages, APIs, and storage into internal tools that marketing and operations teams can use without touching code.

CGI Hub Honeywell Hub Docker Auth Review flow
Dashboard UI / Frontend Comfortable - 74%

I design review screens, filters, status labels, and mobile views that are easier for non-technical users to follow.

HTML / CSS JavaScript Streamlit Responsive UI
Forecasting & Models Applied - 76%

I use models when they help answer a clear business or research question, from forecasting work to category prediction and retraining.

ARIMAX / LSTM Sentiment Classification Model checks
01

Nomsim Unity Project

Making finance easier to learn through interaction

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.

  • Savings, loan, and mortgage logic
  • User choices and feedback flow
  • Turning finance concepts into a usable product
02

RASIO 8.0 Data Science

Explaining ASEAN recovery through data

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.

  • World Bank and IMF economic data
  • ARIMAX/LSTM forecasting comparison
  • Dashboard storytelling for competition judging
03

Final Year Project

Researching sentiment and market movement

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.

  • News, market, macro, and technical data
  • Sentiment feature preparation
  • ARIMAX/LSTM model evaluation
04

SRD 2025 Nominee

Presenting research clearly to others

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.

  • Research poster and presentation
  • Clear explanation of model results
  • Academic communication and Q&A
05

Internship + PIH Mini Projects

Turning weekly marketplace tasks into repeatable tools

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.

  • Scale Winner and Engagement Remediation ad logic
  • Competitor, seller, and promotion validation
  • SKU calibration, reporting, and handover notes
06

CGI Work Experience

Building tools for daily business use

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.

  • Dockerized Flask services with persistent data
  • Marketplace KPI and ROAS workflows
  • Category training, QA checks, and deployment logic

Project & Work Timeline

Phase 1: Nomsim Unity Project

Financial Learning Game

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.

Phase 2: RASIO Competition

Economic Recovery Dashboard

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.

Phase 3: Final Year Research

Sentiment-Based Forecasting

Developed my FYP on Tesla market movement using news sentiment, market data, macro indicators, and ARIMAX/LSTM modelling.

Phase 4: Student Research Day

SRD 2025 Nominee

Nominated to represent FSKM at Student Research Day 2025, where I presented my FYP research to a wider academic audience.

Phase 5: Industrial Training

Data Analyst Internship at CGI

Started with weekly price checks and reporting, then built tools that helped automate pricing review, campaign extraction, competitor monitoring, and marketplace analysis.

Phase 6: Full-Time Role

Junior Data Analyst at CG Ikhlas

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.

Selected Projects

SRD Poster
Academic Research SRD 2025 Nominee

Sentiment-Based Market Forecasting

My final-year research project compares statistical and deep learning approaches for forecasting Tesla market movement using news sentiment and market indicators.

RASIO Team
Data Science 3rd Place

RASIO 8.0 Competition

Built an ASEAN economic recovery dashboard with ARIMAX/LSTM forecasting to support clear discussion around post-pandemic trends and policy scenarios.

UMT Logo
Game Development Silver Medal

Nomsim Interest Rate Simulator

A C# Unity learning game that helps users compare savings, fixed deposit, loan, and mortgage choices through interactive feedback.

CGI Logo
Internship Project

Price Intelligence Hub (PIH)

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.

CGI Logo
Internal Deployment

CGI & Honeywell Market Hubs

Internal portals for market monitoring, pricing review, and marketplace analytics, deployed for daily use by the team.

CGI Logo
Internal Tooling

Supplier Claim Tracker

A Dockerized internal tracker for supplier claims and replacements, routed through Nginx and protected with Cloudflare access controls.

Life & Work Gallery

Uni Life
Uni Life
Expo
Friends
FYP
KTCC
KTCC
Kuantan
Kuantan
Kuantan
Rent House
Rent House
Rent House
Sick
Sick
Work CGI
Work CGI
Work CGI
Work CGI
Work CGI
Work CGI
KL Trip
KL Trip
KL Trip
KL Scene
KL Scene
KL Scene
KL Scene
KL Scene
KL Scene
KL Scene
KL Scene
KL Scene
Selfie
Selfie

Let's talk about data, automation, or internal tools.

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

Email Me