asjad99 / data_products

List of interesting data science projects

About:

I have a background in computer science and AI, and I am currently working as a Data Scientist at UNSW. Previously, I worked with the core teams of several early-stage and high-growth startups, serving as both a data scientist and a software engineer. My role involved building AI-driven products and solutions in areas like Business Process Analytics, Information Retreival, and recommender systems. I have expertise in Algorithmic thinking, Rapid Prototyping via design thinking and R&D thinking through first principles.I am a lifelong learner, striving to learn the art of i) Building High-Performance Technology Organizations. ii) Product Management of Data Products. iii) Design and Construction of Intelligent Systems

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Featured Projects

My projects incorporate emerging machine intelligence technologies and explore applications of augmented intelligence for effective decision making under uncertainty.

• Deep Reinforcement Learning based Clinical Decision Support for Sepsis treatment in emergency room [blog_post] [Paper] [Code]
• Memory Augmented Neural Networks for supporting business process execution [blog_post] [Paper] [Code]
• Distributed process event data mining using federated learning
• Sequential User Session Data for build recommender system using LSTMs
• Anomaly detection for predictive Maintience

Software Projects:

• Misc Software Projects | Scripts and Pet projects

Library

• Elvive | A PySpark Library - Computational Analytics Toolbox for Knowledge Driven Products

Datasets:

• Datasets: | Datasets and resources I built during PhD research

Notes and Guides:

• Notes | Guides and notes on Data-Centric Computing (work in progress)

Publications:

• Publications | Academic Papers (published and Pre-Prints)

Blog:

• Writing | I blog about my experiences here

Misc:

• Work setup | My worksetup and How i work

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Programming is the art of Function, Form, Logic, and Balance.

Utility of the working program provides Function.

Organization and good abstraction creates Form.

The correctness is established with Logic.

Limitations and tradeoffs require harmonious Balance.

--Jeremy Kun

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