Arshman’s substantial understanding and grasp of Reporting Technologies, the ICT industry, and his ability to gather requirements using human-centered design and UX principles are a few of the technical qualities behind his comprehensive approaches. From translating business requirements into technical specifications to building and maintaining positive relationships with the different stakeholders involved, Arshman is passionate about utilizing advanced technologies in order to solve business-related issues and challenges.
The missions and projects handled in CSIRO empowered him with hands-on experience in the development of predictive Machine Learning tools and workflows and the management of large datasets, all while being an active member of a multi-disciplinary and often regionally dispersed research team. Before relocating to Australia, Arshman was a Full Stack Developer in Conrad Labs, Pakistan, where he successfully operated in an agile environment to create product and business value. Before joining the workforce, he made sure to bring additional value to his academic studies by developing several cloud-based solutions, dashboards, and advanced algorithms to polish and enhance his skills.
Because he believes in the importance of continuous learning, Arshman constantly monitors the latest research news and developments in Data Science methods and technologies to stay ahead of current trends and upgrade his competence. Before obtaining his Master’s Degree in Data Science from the University of Melbourne in 2022, Arshman received his Bachelor of Software Engineering from the University of Management & Technology (UMT) in Lahore, Pakistan. In order to experience global education, he was fortunate enough to gain two positive Undergraduate Exchange Student Programs, at Tianjin Polytechnic University (China) and Northeastern University of Illinois (USA).
September 2015 - September 2019
“It is easy to lie with statistics, It is hard to tell the truth without statistics.”
Here are some of his selected works he have done lately. Feel free to check them out.
Cluster and Cloud Computing
This project aims at delivering a simple, parallelised application that leverages the power of the University of Melbourne High-Performance Computing(HPC) facility named SPARTAN. Using TwitterGeoProcessor package, a large dataset of geocoded twitter file can be explored and analysed for extracting relevant information such as the number of posts in individual regions and trending hashtags in each one those regions. The package has been implemented on python and designed with the concepts of MPI (Message-Passing Interface) for effectively improving the performance of processing on the HPC environment.
Information Visualization
Road Safety data is provided by VicRoads for educational and research purposes. This dataset contained fatal and injury crashes recorded on Victorian roads in Australia between July 2013 and March 2019. There were 74,908 observations in the dataset. This data allows users to analyse Victorian fatal and injury crash data based on a range of factors like time, location, conditions, crash type, road user type, object hit etc.
Statistical Machine Learning
The goal of this project was to predict whether an author was responsible for a particular piece of work. As part of the training, I was provided the publish year, keywords, co-authors, and venue associated with each piece of work. It was expected to perform prediction on 2000 test samples and predict whether the author given for a piece of literature was the real author for the work.
Arshman is an intellectually sound and patient person. He always puts his best foot forward and is quite hardworking. He is always a team player and it's been great collaborating on multiple group projects with him. He has a unique passion for technology and all things data. Cant wait to see the great things he achieves!
Pooja Wath
Data Scientist, AIA
I'm happy to connect, listen and help. Let's work together and build something awesome. Email Me.
