Akash Mondal
Data Scientist II
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAkash Mondal is a pragmatic data scientist with 9 years of experience applying AI, ML, and deep learning to high-stakes financial problems across credit, fraud, and marketing. Trained at IIT Kharagpur, he built end-to-end ML suites and production-grade pipelines at American Express, driving POS authorization and negative actioning decisions for US consumer portfolios. He led AI governance and interpretability efforts, optimizing GPU-accelerated Dask and PySpark solutions and integrating LLMs to extract credit risk signals for underwriting. Now at Amazon as a Data Scientist II, he blends research-grade uncertainty quantification (MC Dropout, deep ensembles, novel gradient-boosting approaches) with scalable engineering practices. Colleagues know him for turning complex regulatory and interpretability requirements into auditable, performant systems that balance model accuracy with operational constraints. He maintains a technical portfolio online, reflecting a continuous curiosity for production ML and algorithmic innovation.
9 years of coding experience
4 years of employment as a software developer
Intermediate, Intermediate at Jawahar Navodaya Vidyalaya, JamtaraCivil Engineering, Civil Engineering at Indian Institute of Technology, Kharagpur
Github Skills (20)
data-extraction8
crawler8
extraction8
scraper8
pii7
crawling7
metadata6
python6
bayesian-deep-learning4
bayesian3
content-extraction3
machine-learning2
bayesian-inference2
approximation1
uncertainty1
Programming languages (3)
Github contributions (5)
akashmondal1810/UncertaintyEstimation
Jun 2020 - Jun 2021
Contributions:123 commits, 171 pushes, 1 branch in 11 months
akashmondal1810/Topikk
Feb 2018 - Jul 2019
Contributions:6 pushes, 2 branches in 1 year 5 months
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