Kunal Burgul

Data Scientist

Hyderabad, Telangana, India
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Summary

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Senior
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Top School
Kunal Burgul is a data scientist with 8 years of experience applying machine learning, deep learning, and computer vision to real-world engineering problems, currently at ParallelDots in Hyderabad. He has led a defense-funded project to detect hardware Trojans in PCB X-ray images, owning data acquisition, image stitching improvements, feature engineering, and EDA using Python tooling like NumPy, Pandas, and Scikit-learn. His background spans research roles and production-focused work, with hands-on model building and serving using TensorFlow, PyTorch, and Keras, plus practical systems experience deploying MongoDB and securing data partitions. Kunal combines academic rigor—WorldQuant and Udacity trainings in applied data science and NLP—with a pragmatic engineering mindset, often bridging hardware imaging pipelines and ML stacks to deliver deployable solutions.
code8 years of coding experience
job3 years of employment as a software developer
bookApplied Data Science Module I and II, Applied Data Science Module I and II at WorldQuant University
bookNanodegree, NLP Foundation, Nanodegree, NLP Foundation at Udacity
bookBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Walchand Institute of Technology, Solapur
languagesEnglish, Hindi, Marathi, Telugu
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Stackoverflow

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1reputation
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0questions
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Github Skills (28)

google-colab7
ipynb6
jupyter-notebook5
onenote5
jupyter4
machine-learning4
nodejs4
tray4
zxing4
python4
frame4
model-fitting3
upc3
javascript3
pattern-recognition3

Programming languages (5)

TypeScriptC++JavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:13 commits, 5 pushes, 1 branch in 2 years 3 months
ML Algorithms Walkthrough
Contributions:26 PRs, 46 pushes in 4 months
pythondata-sciencedeep-learningmachine-learningml-algorithms
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Kunal Burgul - Data Scientist