Abdullah Saqib

I turn oil, gas & energy data into decisions.

Final-year Data Science and Decisions student at UNSW Sydney. I build Python models and data pipelines on crude oil markets and Australian emissions data, aimed at the questions operators, traders and investors actually ask.

$ whoami
data science & decisions @ UNSW▊

projects

★ FEATURED · MARKETS

Crude Oil Signal Engine

A Python system that scores crude oil swing-trade setups every weekday. Four signal layers (trend, physical supply, macro and cross-asset) combine into one score, which drives volatility-targeted position sizing with ATR-based stops.

It ships with a backtester and runs on a schedule in GitHub Actions, emailing a daily report before the Sydney open. I use it to paper-trade my own oil positions before putting real money behind it.

signal layers

daily

automated report

ATR

risk-based stops

Python pandas yfinance backtesting GitHub Actions

// private repo, walkthrough available on request

★ FEATURED · EMISSIONS & COMPLIANCE

ASX Energy Emissions Tracker

Which ASX-listed energy producers are really cutting emissions, and which are meeting their targets by buying offsets? This pipeline works through the Clean Energy Regulator's Safeguard Mechanism and NGER data to separate facility-level reductions from reliance on ACCU surrenders, then checks the results against company disclosures and transition plans.

years of NGER data

20+

regulator datasets

2016→25

facility coverage

Python pandas CER / NGER data Safeguard Mechanism ACCUs

$→

Landed Cost Calculator

A live web tool for Rapid Cargo, my family's freight-forwarding and customs business. Importers estimate duty, GST and clearance charges on a shipment, then request a freight quote. Built as a lead-generation channel with form capture into the sales inbox.

JavaScriptFormspreetrade & customs

Data Science Capstone

Final-year industry capstone (DATA3001): taking a real client problem end to end, from data wrangling and modelling through to presenting a recommendation the client can act on.

capstonein progress

Algorithms in C & Go

Graph search, Dijkstra shortest paths, minimum spanning trees for power-grid planning, balanced trees and hash tables, all written from scratch in C. Plus self-taught Go for fast command-line tooling.

CGoalgorithms

skills

Modelling & Statistics

Statistical modelling & inference
Regression & time-series forecasting
Backtesting & position sizing
Probability & linear algebra

Data & Engineering

Python (pandas, yfinance)
R · SQL
C · Go
Git · GitHub Actions · Unix

Reporting & BI

Power BI dashboards
Python & R data visualisation
Automated daily reporting
Jupyter notebooks

Energy & Commercial

Crude oil markets & price drivers
Safeguard Mechanism, NGER, ACCUs
Freight, customs & import costs
Client-facing sales

about

I'm a final-year Data Science and Decisions student at UNSW Sydney, heading into energy and resources.

I came to energy through the market itself. I trade crude oil on my own account, and I wanted a more rigorous way to read it than chart patterns. That turned into the signal engine above, and from there into what Australia's biggest emitters actually report to the regulator.

I grew up around trade. My family runs Rapid Cargo, a freight-forwarding and customs business in Pakistan, so shipping costs, tariffs and commodity prices were everyday conversation long before they were datasets.

Away from the screen I work client-facing at M.J. Bale, where I've learnt to explain things to people who don't care about the method.

abdullah.py

class Abdullah:
    def __init__(self):
        self.uni = "UNSW Sydney"
        self.degree = "Data Science & Decisions"
        self.year = "final"
        self.focus = [
            "crude oil markets",
            "energy & emissions data",
            "quant modelling",
        ]
                       self.off_the_clock = {
               "espresso": "dialled in at 18g",
               "currently_learning": "why my shorts keep losing money",
           }
           self.fav_lyric = "as long as the outcome is income" 
            # Drake
            

    def current_status(self):
        return "open to energy & resources roles"