Saurabh Pandey
Data Science Specialist
Singapore
Summary
👤
Senior🎓
Top SchoolSaurabh Pandey is a data science specialist with 10 years’ experience applying probabilistic modeling, ML and AI to banking and utilities across Singapore and the region. He has driven measurable business impact—from a 6x lift in personal loan conversions and SGD 27M annualized revenue at HSBC to a ~73% reduction in false positives for utility meter anomaly detection at SP Group—while leading model governance and productionization on Google Cloud. Comfortable with scalable tooling (Spark, PySpark, XGBoost, Spark NLP) and reinforcement/Bayesian methods, he builds recommendation, propensity and time-series systems that tie directly to campaign ROI and product growth. Equally at home mentoring teams and embedding models into campaign engines (PEGA) as he is designing probabilistic solutions for sustainability and deposit forecasting. A biotech-trained IIT alumnus now studying AI+Business at NUS, he blends rigorous scientific thinking with commercial analytics and a track record of turning complex models into operational workflows.
10 years of coding experience
9 years of employment as a software developer
B-Tech & M-Tech, Biotechnology, B-Tech & M-Tech, Biotechnology at Indian Institute of Technology, KharagpurChief Data, Analytics and AI Officer Programme, Artificial Intelligence + Business, Chief Data, Analytics and AI Officer Programme, Artificial Intelligence + Business at National University of Singapore
Hindi, English, German
Github Skills (4)
bayesian3
bayesian-data-analysis2
python2
data-analysis2
Programming languages (1)
Github contributions (5)
saurabh2086/BayesianMethodsForMachineLearning
Jul 2018 - Aug 2018
Contributions:52 commits, 50 pushes, 1 branch in 1 month
saurabh2086/timeSeriesAnalysis
Dec 2018 - May 2020
Contributions:16 pushes, 2 branches in 1 year 5 months
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