Parul Sethi
Senior Consultant at Datamatics
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolParul Sethi is a Senior Consultant based in Mumbai with 10 years of experience building .NET-based business applications using C#, SQL, WinForms/WebForms, ASP.NET, MVC and modern front-end frameworks like Angular and Vue. She has a strong track record delivering requirement-driven solutions across companies from product-focused Beehive Systems to consulting roles at Iris Software and SD Global before joining Datamatics. Beyond enterprise application development she has contributed to the open-source gensim project, improving doc2vec and adding tooling for word embedding comparison—an unusual ML-flavored contribution for a primarily .NET engineer. Her background in applied electronics and an advanced diploma in .NET software design gives her a solid blend of systems thinking and hands-on implementation. Colleagues know her for converting complex requirements into reliable, test-covered features and for bridging backend data models with pragmatic UI experiences.
10 years of coding experience
3 years of employment as a software developer
M.Sc Electronics, Electronics, M.Sc Electronics, Electronics at Faculty Of Engineering & Technology Jamia Millia IslamiaPost Graduate Diploma in Advanced Software Design & Development, Dot Net, Post Graduate Diploma in Advanced Software Design & Development, Dot Net at C - DAC, NOIDABachelor’s Degree, Applied Electronics (Hons.), Bachelor’s Degree, Applied Electronics (Hons.) at Shaheed Rajguru College Of Applied Sciences DU
English, Hindi, Punjabi
Github Skills (11)
word-embeddings10
machine-learning10
topic-modeling10
gensim10
nlp10
topic-models10
python10
natural-language-processing10
data-science9
testing9
word2vec8
Programming languages (6)
Github contributions (5)
piskvorky/gensim
Nov 2016 - Oct 2017
Topic Modelling for Humans
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:36 commits, 31 PRs, 102 comments in 11 months
Contributions summary:Parul contributed to the `gensim` repository, focusing on improvements to the `doc2vec` model. They fixed bugs, added tests for specific functionalities, and modified code related to similarity calculations and clipping ranges. The user also added a new feature by implementing a wrapper for wordrank and created a tutorial about model comparison for word embeddings.
pythonword-similarityword-embeddingsdata-miningfor-humans
parulsethi/gensim
Nov 2016 - Mar 2018
Contributions:158 commits, 165 pushes, 46 branches in 1 year 4 months
nlpmachine-learningfor-humanstopic-modellingmodelling
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