Vivek Mahato

Senior Data Scientist

Dublin, Ireland
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Summary

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Vivek Mahato is a Senior Data Scientist based in Dublin with a PhD in machine learning and eight years of experience applying ML across manufacturing, e-commerce and cybersecurity. He has industry experience at Vectra AI (cybersecurity) and Shopify, and a research background that produced mlots, a custom Python package for real-time porosity prediction from additive-manufacturing time series. Vivek specializes in time-series modeling and building descriptive, predictive and prescriptive systems that move from research prototypes to production tools. He has led data-science teams, run academic support centres and taught advanced ML courses, bringing both leadership and pedagogy to technical roles. His career shows an unusual cross-domain strength: translating real-time quality-prediction techniques from industrial research into production-ready ML for business and security use cases.
code8 years of coding experience
job5 years of employment as a software developer
bookMatric and Higher Secondary (Science), Computer Science, 82.5%, Matric and Higher Secondary (Science), Computer Science, 82.5% at Sunrise (Eng.Med) School
bookUniversity College Dublin
bookBachelor in Computer Application, Computer Science, 8.26/10, Bachelor in Computer Application, Computer Science, 8.26/10 at West Bengal University of Technology
languagesEnglish, Hindi
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Github Skills (8)

dtw9
nearest-neighbors8
classification8
machine-learning6
python5
approximate-nearest-neighbor-search5
time-series5
data-science4

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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vivekmahato/mlots

Feb 2021 - Sep 2022

mlots is python package that provides Machine Learning tools for Time-Series Classification.
Contributions:9 releases, 115 commits, 1 PR in 1 year 7 months
dtwpythonapproximate-nearest-neighbor-searchdata-sciencemachine-learning
Contributions:79 pushes in 7 months
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Vivek Mahato - Senior Data Scientist