Joe Sakhaei Curriculum Vitae

Mobile: +61-470******

Email: adsrxr@r.postjobfree.com

Address: Sydney, NSW, Australia

Objective

Joe is a tech enthusiast and problem solver who is expert at the junction of Computer Vision, Virtual Reality and Data Science. With solid background in engineering, industry, and technology; he is competent in finding solutions to emerging complex problems.

Key Words

Computer Vision, Virtual / Augmented Reality, Big Data, Scientific Animations, ETL, Machine Learning, Data Science, Data Analysis, Data Engineering, A/B testing, Deep Learning, PyTorch, Agile, Tensorflow, SQL, Spark,, AWS, Azure, Data Visualisation, Data Mining, Interactive Plotting, MS SQL, Matlab, Shiny, MS Office, MS Excel, Presentation Skills, Interpersonal Skills, Written Skills, Stakeholder Management, Academic Writing, Project Coordination, Github, Time Series, Interactive Animations, Unity C#, Game Engines, Innovations and Patents.

Technical Skills Highlights

●Hands on experience in deploying data science and machine learning code pipelines on big data and cloud.

●Hands on experience in developing innovative Computer Vision and Virtual Reality solutions.

●Hands on experience in production-ready data science pipelines and deploying agile methodology.

●Highly skilled in creating insightful and interactive animations from spatial data.

●Solid experience in Data Engineering using SQL and Spark.

●Strong background in numerical analysis using Python, NumPy and PyTorch.

●Hands on experience in Bash Scripting and automation of data processing on Linux servers and cloud (AWS and Azure).

●Proven experience in leading multi-disciplinary teams in adoption of data methods and innovative technologies.

●Solid background in engineering mathematics, linear algebra, and statistics.

●Great presentation skills in front of hundreds of students, management and project stakeholders.

●Experienced in time and resources management in a recently established organisation.

Career History

Senior Data Scientist, Health Policy Analysis

June 2021 – Present

-Segmented Ambulance Activity data to form production ready costing classifiers.

-Developed Spark Databricks/ AWS code pipeline for engineering of NSW Ambulance big data.

-Preprocessed complex big data on spark SQL (ETL).

-Deployed MLflow for tracking of model performance in accordance with agile methodology.

-Built packages from existing code and streamlined gated build on AWS.

-Deployed complex survey analytics on big survey data and generated insights.

-Built classification pipeline on big data with Databricks/Mlflow.

Computer Vision/ML Specialist, Orica

June 2019 – June 2021

-Developed computer vision solution for dust detection and image correction on FragTrackTM Cameras.

-Published patent on novel dust detection methods: AU2021901535A0

-Developed VR/AR solution for ore movement/dilution using Physics/Game Engines (Patent submitted).

-Deployed A/B testing on selection of proper blast design on geological big data and obtained p-test values for design parameters (statistics).

-Automated data driven engineering solutions for mining blast design.

-Ported existing predictors to Databricks/Mlflow on MS Azure.

-Built fast scalable Kriging interpolator using PyTorch tensor processor.

-Developed code pipeline for insightful, real-time, and modern scientific 3D animations from spatial data for mining ore-waste delineation.

Data Scientist, Hanson Constructions (Heidelberg Cement Group)

October 2018 – April 2019

-Produced automated and user-friendly web application for cost calculations of concrete delivery allocations for trainees. The project reduced necessary human resources overhead in marking of traditional magnet and paper allocation test.

-Developed predictive model to accurately determine servicing demands and down time due to unavailability of fleet during service. This task included application of regression, interpolation and time series forecasting of fleet usage.

-Organised and wrangled key business data of the company to help target future needs and measurements.

-Implemented R code in preparing data for visualisation of driver safety and performance data in R Shiny.

-Produced automatic performance reports for drivers and categorising them based on statistics of driver safety events occurred.

-Created driver performance report based on statistical analysis of driver safety events occurred monthly. This task required various SQL query from the company Oracle/ SAP database and linking to spark data-bricks for efficient handling.

Lecturer, University of Portsmouth, MTC*

Nov 2014 – Sep 2018

-Had teaching and developing computer science courses; including, mathematical modelling and calculations using Python and Matlab.

-Had extensive involvement with clients and quality assurance bodies to accredit the newly established college.

-Had extensive presentation experience in front of hundreds of students, management, and project stakeholders.

-Involved in the management of students, courses, and examinations. This includes long-term planning of college programme, courses, projects, and activities for future students.

-Had fantastic experience in working with colleagues from a variety of countries, races, and cultural backgrounds.

* (MTC is a recently established college of Portsmouth University in Oman)

Researcher, Queensland Geothermal Energy Centre of Excellence (QGECE), UQ

Mar 2010 – Oct 2014

-Research topic: numerical research on dynamics of thermal flow through heat exchangers. A thorough study on time-varying modelling of turbulent flows by means of computational packages.

-Experience in dealing with time-series and correlation of experimental data to those of previous studies (Python and MATLAB).

-Had extensive experience in data analysis and visualisation during research.

-Created a database of analytical data together with data available from the literature for temperature and pressure variations around cooling towers of power plant. (Daily and yearly variations)

-Hands on experience in statistical analysis of data.

-Problem solving skills: Offered solution to a contradictory observation in fluid flow by simplifying the problem to an electrical circuit (modelling).

-Involved with researchers / engineers in other fields of study to better understand the problem to find a solution from another perspective.

-Gained experience in shell scripting languages such as Python and Bash.

-Strong written skills in producing peer-reviewed publications in academia.

Project Engineer, Imen Rokn Co.

Oct 2008 – Feb 2010

-Engineer in charge of design of piping systems and inspection of finished welding and metal sheet workings done during the project.

-Experience with codes and standards of mechanical engineering design.

Education

PhD in Engineering, Computational Analysis

The University of Queensland, 2010 - 2014

-Area of Expertise: numerical analysis of fluid flow by means of mathematical modelling. This included statistical analysis of data obtained from experiments and previous studies.

BSc, Mechanical Engineering: GP A = 88% = 7

Sharif University of Technology (Iran ‘s rank #1), 2005 - 2009

(Assessed by Engineers Australia)

Awards & Honours

●International Post-graduate Research Scholarship (IPRS), Australian Government, 2010-2013.

●University of Queensland Research Scholarship (UQRS), 2010-2013.

●Queensland Geothermal Energy Centre of Excellence (QGECE) Scholarship, 2010-2013.

●Bronze Medal, National Chemistry Olympiad: Summer 2004.

●Patent published on dust management (detection): AU2021901535A0

Additional information

Australian Citizen.

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