Simran Pandey

Product And Business at CRED

Bengaluru, Karnataka, India
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Summary

👤
Senior
🎓
Top School
Simran Pandey is a product and business leader with 8 years of experience building data-driven products across fraud detection, payments, gaming, and consumer finance. She combines a computer science foundation and published HCI research (INTERACT 2017) with hands-on product work—shipping low-latency fraud APIs at scale, leading cross-functional teams of 40+, and introducing gamification and ML-driven recommendations that boosted engagement and revenue. Known for obsessing over data and execution, she has repeatedly reduced fraud, optimized onboarding funnels, and doubled key engagement metrics through user-focused research and experimentation. A persistent side-project and open-source contributor, she founded her college programming society and still mentors peers on algorithms and product design. Based in Bengaluru, she balances technical rigor with creative pursuits—when not building products she plays the ukulele and writes about her learnings on simranpandey.com.
code8 years of coding experience
job7 years of employment as a software developer
bookUniversity of Delhi
bookHigh School PCM with Computer Science, High School PCM with Computer Science at Sahoday School
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Github Skills (23)

artificial-intelligence10
machine-learning10
linux10
html10
algorithm9
hindi9
coder9
disambiguation9
science9
computer-science9
prediction9
corpus8
happy8
css8
javascript8

Programming languages (4)

CSSVueHTMLPython

Github contributions (5)

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The project proposes a novel design for Disambiguation based chording keyboard for blinds. Results also state that there is an optimum number of words to be included in the corpus which would benefit the users by not increasing his cognitive toll. Empirically, we have found that for the Swarachakra Hindi corpus of 10,000 words, the prediction is best and most effective for the user when the corpus size consist of about 200 high frequency words. This also opens a room for further research where a general method could be implemented to find out the optimum size of corpus in any language model
Contributions:46 commits, 45 pushes, 1 branch in 1 year 5 months
any-languagedisambiguationhigh-frequencykeyboardlanguage-model
Contributions:4 commits, 3 pushes, 1 branch in 11 months
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