OpenDOSM & Telemetry Series
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INTERNSHIP WINDOW | AVAILABLE IMMEDIATELY – JAN 2027
🇲🇾 Kuala Lumpur, Malaysia ›
DATA
LAB
● MY TIME 17:15:00
TRACK UTC 09:15:00
Muhammad

LUQMAN HAKIM

🇲🇾 Kuala Lumpur Data Analyst (B.Sc. Statistics) UiTM
26
Portrait of Muhammad Luqman Hakim bin Syahrulnizam
Streaming Replay Fill Rate
99.1%
12,196 SKU-Store Series • Kafka + Spark
KPT Tracer Study Sample
109,414
Graduates Modeled • Budget 2027 Floor
OpenDOSM Trade Horizon
320 MOS
3,190 Sector Rows • 51 DAX Measures
FYP OLS Explanatory Power
64.0%
Adj. R² = 0.640 • N = 100 (G*Power)
Live Deployments
7 LIVE
Apps & Sites • Streamlit • Vercel • GitHub Pages
Verified Portfolio & GitHub Telemetry

Projects & Production Pipelines

OCT 2026 // ECONOMETRIC SIMULATION N = 109,414 GRADS

Graduate Salary & Wage Floor Model

  • Analysed published salary bands for 109,414 first-degree graduates (KPT Graduate Tracer Study 2024) and found 49.7% earned RM2,500 or less (Budget 2027 graduate wage floor), ranging from 27.7% in ICT to 77.2% in education.
  • Simulated the floor under 6 scenarios with a rank-preserving wage compression rule, estimating a 7.1–14.4% rise in the graduate wage bill.
  • Fitted a log-salary regression with HC3 robust errors and VIF, Breusch-Pagan, White, and RESET diagnostics on a 1,000-row calibrated sample, reproduced in Excel via LINEST and MMULT/MINVERSE.
Python statsmodels (HC3 OLS) Excel (LINEST / MMULT) Policy Simulation
OCT 2026 // STAR-SCHEMA & DAX 320 MONTHS • 51 DAX

DOSM Trade Engine

  • Built a 3-step Python pipeline (ingest, transform, validate) converting 3 OpenDOSM tables into star-schema fact and dimension tables covering 320 months of Malaysian trade (Jan 2000–Aug 2026) and 3,190 month-by-sector rows.
  • Flagged 8 export anomaly months and 25 sector spikes with z-score rules on YoY growth; validation checks halt on failure and report a 10–16% source revision gap (Jun–Jul 2024).
  • Modelled in Power BI with a date table and 51 DAX measures (YoY growth, 3-month moving averages, latest-month KPI cards).
Python pandas Power BI 51 DAX Measures Z-Score Anomaly
SEP 2026 – PRESENT // LIVE STREAMLIT 2X/WK AUTOMATED ETL

BudiPulse: Fuel Subsidy Tracker

  • Built and deployed a live dashboard tracking the weekly gap between market fuel prices and BUDI MADANI subsidised caps for RON95 and diesel, refreshed twice weekly by a scheduled GitHub Actions ETL job.
  • Loaded cleaned OpenDOSM price data into PostgreSQL with primary-key upserts that prevent duplicate records.
  • Added an interactive calculator estimating each user's monthly fuel cost against the 300 L subsidised quota.
Python PostgreSQL Streamlit GitHub Actions OpenDOSM
2024 – PRESENT // FINAL YEAR PROJECT ADJ. R² = 0.640

Smartphone Purchase Intention Study (FYP)

  • Built a Multiple Linear Regression (MLR) model on 100 respondents (sample size determined via G*Power) that explained 64.0% of variance in purchase intention (adj. R² = 0.640).
  • Identified Product Features (β = 0.431, p < 0.001) and Brand Image (β = 0.404) as the strongest predictors.
  • Validated full parametric assumptions including multicollinearity, homoscedasticity, and normality diagnostics.
R SPSS G*Power Multiple Linear Regression
2024 // DSC651 BI ANALYTICS 7,043 CUSTOMERS

Telco Customer Churn Dashboard (DSC651)

  • Analysed 7,043 IBM Telco customers in Power BI and uncovered an overall 26.54% customer churn rate.
  • Demonstrated that month-to-month contracts accounted for 88.55% of all churned accounts.
  • Isolated early-tenure vulnerability with 1,037 customers churning within their first 12 months of service.
Power BI DAX Customer Retention Cohort Analysis
MAY 2026 – OCT 2026 // FULL-STACK SQL 53 AUTOMATED TESTS

WealthWatch: Personal Finance Tracker

  • Built and deployed a live finance tracker serving monthly income, expense, and per-category totals from SQL aggregation queries on PostgreSQL through a 5-endpoint FastAPI service.
  • Engineered secure JWT sign-in and Supabase PostgreSQL Row-Level Security (RLS).
  • Verified backend reliability with a suite of 53 automated tests and deployed frontend on Vercel.
React FastAPI Supabase (PostgreSQL) Vercel Pytest (53 Tests)
From github.com/Downey112

More Projects

Program Risk MY

Field-of-study risk index and forecast for Malaysian graduates, built on MOHE Graduate Tracer Study data (2020–2025).

PythonStreamlitForecasting

PriceCatcher Retail Pricing

Grocery price dispersion and store-format gap model across 20M+ PriceCatcher records.

DuckDBFixed-effects OLSPower BI (34 measures)

EV Conformal

Stress-tests conformal prediction intervals for hierarchical EV charging forecasts, re-examining arXiv:2610.13588.

PythonConformal PredictionHierarchical Forecasting

Belanjawan Bot

RAG chatbot over Malaysia Budget 2026 documents that answers with page citations.

ChromaDBsentence-transformersGroq (Llama 3.3 70B)

Audit Fraud Detection

End-to-end anomaly and fraud detection pipeline on 1M+ imbalanced transactions.

SMOTELogistic RegressionNeural Networks

ESG Multi-Agent Auditor

Event-driven multi-agent architecture for auditing corporate greenhouse gas emissions (Scope 1, 2 and 3).

Multi-Agent AIGemini Enterprise Agent Platform

Belanjawan 2027 Wage Cost Model

Formula-driven payroll and fiscal model of employer cost and take-home pay across the Budget 2027 wage tiers (RM2,000, RM2,500, RM3,400).

ExcelPayroll Modelling

Malaysia Inclusive Economy Blueprint

Interactive policy simulator modelling progressive fiscal reforms, living-wage staircases and PPR urban safety nets.

Interactive SPAData Visualisation

Perasaan Malaysia

Automated daily ETL pulling MetMalaysia 7-day weather forecasts from the data.gov.my API into Google Sheets.

GitHub Actionsdata.gov.my APIGoogle Sheets

Antigravity GitHub Ecosystem

Repository maintenance agent for dependency audits, issue triage and portfolio health checks.

GitHub ActionsAutomation

The Residual

Analytics blog exploring the residual in Malaysian open data: the part the headline leaves out.

VercelData Writing
CV Specification Sheet

Technical Telemetry, Education & Experience

Technical Stack

Languages & Query
PythonpandasstatsmodelsPlotlyStreamlitFastAPISQLRSAS
BI & Visualisation
Power BI (DAX, star schema)TableauLooker StudioExcel (LINEST, matrix formulas)
Statistics
Multiple linear regressionOLS diagnosticsHypothesis testingCorrelationT-testsZ-score anomaly detection
Data & Cloud
Supabase (PostgreSQL)VercelGitHub ActionsGitAzureGoogle CloudAWS
Statistical Software
SPSSSAS Enterprise MinerRapidMinerG*Power

Experience

Customer Service Agent (Part-time) — SRG Asia Pacific / Maxis AUG 2025 – SEP 2025
Resolved 20+ technical and billing inquiries daily in CRM platforms.
Committee Member, Multimedia & Publicity — COMOBISTA, UiTM OCT 2023 – FEB 2024
Produced digital and print publicity content for faculty events under tight deadlines.

Education

B.Sc. (Hons.) Statistics — Universiti Teknologi MARA (UiTM), Kota Bharu OCT 2023 – FEB 2027
CGPA 3.11. Coursework: Programming for Data Science (R/Python), Business Data Analytics, Data Reporting & Visualisation.
Foundation in Engineering — UiTM Selangor AUG 2022 – JUN 2023
CGPA 3.44. Silver Medal, PIITRAM 2023 Pre-University Innovation Competition.

Certifications

GOOGLE (2023–2024) Advanced Data Analytics, Business Intelligence, Data Analytics & Cloud Data Analytics
IBM • SAS • ORACLE (2024) IBM Data Analyst Professional • SAS Statistical Business Analyst • Oracle Database 11g PL/SQL
CLOUD & AI (2024) AWS Cloud Solutions Architect • Microsoft Azure AI Essentials • CertNexus Certified AI Practitioner
VANDERBILT UNIVERSITY (2025) AI Agent Developer Specialization