Abdul Qadir
Data Scientist
Newington,NSW
Summary
Results-driven Data Scientist with 14 years of expertise in end-to-end machine learning, data analytics and systems modeling. Proven track record in techno-economic assessments and optimization across energy, mining, and logistics sectors. Adept at stakeholder engagement and leveraging data-driven insights to tackle complex problems and drive strategic decisions. Collaborative team player with a strong ability to adapt and deliver impactful solutions.
Overview
10
10
years of professional experience
3
3
Certifications
Work History
Data Scientist
Ofload
8 2022 - 8 2024
- End-to-end developed a hybrid recommendation engine (using Matrix Factorisation, Collaborative Filtering and LightGBM models) for matching shipments to carriers. Nearly 80% of total shipments were allocated using this engine
- Generated business insights by building dashboards for analysing data as well as for monitoring predictive model performances.
- Built and managed data architecture (data pipelines, feature store, model store and monitoring systems) in AWS.
- Created and maintained data warehouses and API endpoints for machine learning models.
- Improved and maintained a LightGBM based machine learning model for predicting price of shipments. Up to 80% of major city shipments were quoted using this model.
- Established CI/CD workflows for ML and analytics projects.
- Built a tool to ingest shipment order data from excel sheets to the company's platform . Saved 2 minutes of work time per shipment.
Research Associate / Data Scientist
Rio Tinto Centre for Mine Automation
03.2018 - 01.2022
- Extensively liaised with business stakeholders and subject matter experts to identify data sources, understand quality of data and cleaned data for effective use in visualisation and ML models.
- Built models for supply chain optimisation of a network of 14 mines and 2 ports connected via a rail network.
- Created time-series models for forecasting future tonnage and material composition of iron ore produced using ARIMA and Facebook Prophet models.
- Developed and maintained data dashboards visualising material movements and bottlenecks in the iron ore supply chain using PowerBI, Matplotlib, Seaborn and Bokeh.
- Built machine learning models for predicting ship contents based on material sent to ports from mines using LR, Ridge, Lasso, GBM and Random Forest models.
Research Associate
Rio Tinto Centre for Mine Automation
03.2015 - 03.2018
- Conceptualised and built mixed-integer linear programs (MILPs) for optimising mine planning (movement of autonomous vehicles) with metrics such as maximising throughput, minimising cost and optimising product blend (Python and Gurobi).
- Built several services for mining data of stationary and mobile assets from multiple large datasets (Python, PySpark, SQL).
- Developed geospatial model for estimating block tonnage based on exploratory hole data and spatial and temporal digger bucket position data (Shapely and Geopandas).
Analyst
Invention Evaluator
03.2012 - 03.2015
- Performed extensive database searches to verify novelty of client’s ideas: Completed over 60 evaluation reports.
- Managed strict timelines for completing technical reports.
- Developed a keen attention to detail in analyzing industry reports, patents and academic publications.
Education
Ph.D. - Chemical And Biomolecular Engineering
04.2001 -
Skills
Data Analytics
Data Science
AI
Machine Learning
GIT
AWS
Python Programming
SQL
Spark
Tableau
Power BI
Gen AI
Data Mining
MLOps
Problem Solving
Statistical Analysis
Certification
Data Scientist in Python, DataCamp
Accomplishments
- Lead inventor of a novel solar thermal liquid and air heater (patented).
- Lead inventor of a supply chain risk minimisation process for Rio Tinto's Iron Ore supply chain in Western Australia (patented).
- Co-invented a solar based solvent regeneration process used in carbon capture and storage (patented).
Additional Information
Australian Citizen
Timeline
SQL Fundamentals Track, DataCamp
05-2022
Tableau Fundamentals Track, DataCamp
10-2021
Data Scientist in Python, DataCamp
10-2019
Research Associate / Data Scientist - Rio Tinto Centre for Mine Automation
03.2018 - 01.2022
Research Associate - Rio Tinto Centre for Mine Automation
03.2015 - 03.2018
Analyst - Invention Evaluator
03.2012 - 03.2015
The University of Sydney - Ph.D., Chemical And Biomolecular Engineering
04.2001 -
Data Scientist - Ofload
8 2022 - 8 2024