Ayushman Datta
Business Analyst at Genpact
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAyushman Datta is a Business Analyst and research-oriented software engineer from Bengaluru, blending 11 years of experience with hands-on internships at Samsung R&D, IIT Kharagpur, and the Indian Statistical Institute to drive measurable ML and product outcomes. He has boosted user engagement by 22% at Samsung and improved model accuracy by 15% through class-imbalance reweighting and CNN work, while contributing to surgical process-graph visualizations that increased efficiency for a GE-funded medical project. Comfortable across Python, JavaScript, MERN stack and testing frameworks like Cucumber/Gherkin, he bridges research, engineering and product teams to shorten deep learning training times and make complex systems interpretable. A trained musician and composer, Ayushman brings a creative perspective to algorithmic problem-solving and aims to synthesize his academic research with practical deployments in healthcare and ML.
11 years of coding experience
Bachelor of Technology - BTech, Computer Engineering, Bachelor of Technology - BTech, Computer Engineering at SRMIST, Kattankulathur, Chennai ,Tamil NaduISC & ICSE, Primary & Secondary education, ISC & ICSE, Primary & Secondary education at St. Xavier's Collegiate School - India
English, Bengali, Hindi, German
Github Skills (68)
transliteration10
python10
classifier10
deep-learning10
audio10
nlp10
markov10
natural-language-processing10
phones10
pytorch10
unobtrusive10
machine-learning10
generative-adversarial-network10
llm10
reproducible-science9
Programming languages (5)
Github contributions (5)
Neural-Space/pewter
Jul 2016 - Aug 2016
Data acquisition and visualization tool for Myo Armband
Contributions:4 commits, 2 pushes, 4 comments in 1 month
data-acquisitionvisualizationimumyo-armbandnodejs
dashayushman/TAC-GAN
May 2017 - Jul 2017
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
Contributions:68 commits, 2 PRs, 61 pushes in 2 months
classifiergenerative-adversarial-networktensorflowgenerative-modelsnoise-contrastive-estimation
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