Shivam Bansal
VP, AI Field Technology (APAC) at H2O.ai
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolShivam Bansal is a data science and AI leader with 12 years of experience building end-to-end machine learning solutions across banking, fintech, insurance, healthcare, retail and manufacturing, now serving as VP of AI Field Technology for APAC at H2O.ai. He combines hands-on full-stack engineering and NLP expertise with a track record of founding and scaling data science teams, translating C-level business goals into measurable AI outcomes. A former Valedictorian at the National University of Singapore, Shivam is also a Kaggle Triple Grandmaster and Competition Master with multiple wins and top global rankings, reflecting rare deep technical pedigree and competitive rigor. He contributes to open-source tooling—expanding the popular textstat Python package—and often bridges pre-sales, customer success and product to deploy production-grade AI that drives clear business metrics.
12 years of coding experience
10 years of employment as a software developer
Bachelor's of Technology Computer Science , Bachelor's of Technology Computer Science at Jaypee Institute Of Information TechnologyMaster of Science Business Analytics and Data Science, Master of Science Business Analytics and Data Science at National University of Singapore
Github Skills (4)
readability10
text-analysis10
python10
testing8
Programming languages (5)
Github contributions (5)
textstat/textstat
Jun 2014 - Feb 2019
:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:42 commits, 16 PRs, 24 pushes in 4 years 8 months
Contributions summary:Shivam primarily contributed to implementing and expanding functionalities within the textstat Python package. Their work involved adding new methods for readability calculations, such as SMOG index and Dale-Chall readability score. They refactored existing code, improved sentence and syllable counting, and implemented functions for calculating other text statistics. The user also packaged the code for distribution.
nlpstatisticspythonsentencessmog
shivam5992/spellbee
Apr 2014 - Sep 2014
Contributions:17 commits in 5 months
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