Durgesh Samariya

Sessional Lecturer at Deakin University

Melbourne, Victoria, Australia
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Summary

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Durgesh Samariya is a sessional lecturer and PhD-trained machine learning researcher based in Melbourne with 10 years of software and teaching experience across universities and industry. He teaches and designs curriculum for undergraduate and master's courses spanning databases, web technologies, software development, deep learning and AI-for-business, while concurrently completing a PhD focused on outlying aspect mining. Comfortable bridging research and practice, he has delivered workshops, labs and assessment for Deakin and Federation University and previously built production automation and analytics tools in the energy sector. A persistent self-learner and technical writer on Medium, Durgesh combines hands-on engineering (automation with HtmlUnit/Selenium) with academic rigor and a knack for translating complex ML concepts into classroom-ready material.
code10 years of coding experience
job7 years of employment as a software developer
bookBachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at Gujarat Technological University
bookDeep Learning Nano Degree, Deep Learning Nano Degree at Udacity
bookHigh School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Knowledge High School
bookMaster of Technology (M.Tech.), Computer Software Technology/Technician, 8.27 CGPA, Master of Technology (M.Tech.), Computer Software Technology/Technician, 8.27 CGPA at Vellore Institute of Technology
bookDoctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Federation University Australia
languagesEnglish, Hindi, Gujarati
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Github Skills (51)

javascript10
github10
python10
data-science10
scikit10
outliers10
machine-learning10
statistics10
autoencoder10
unsupervised-learning10
scikit-learn10
outlier-detection10
data-analysis10
anomaly-detection9
novelty-detection9

Programming languages (7)

TypeScriptJavaTeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Contributions:17 commits, 18 pushes, 1 branch in 6 months
Roadmap to learn Data Science and related areas.
Contributions:13 commits, 12 pushes, 1 branch in 1 month
statisticspythonsciencedata-sciencemachine-learning
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