Rudraksh Syal
Machine Learning Engineer (Pricing Data Science)
San Jose, California, United States
Summary
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Senior🎓
Top SchoolRudraksh Syal is a machine learning engineer specializing in pricing data science with eight years of hands-on experience building production ML systems and forecasting pipelines in the San Jose Bay Area. He has led end-to-end pricing and demand-forecast projects—designing a multi-model MSRP recommendation engine and an AWS SageMaker-based forecast pipeline that moved from bagged ensembles to AutoML while improving RMSE and accuracy. His work spans dynamic pricing, booking propensity scoring, elasticity estimation, and operationalizing models with model monitoring, event-driven automation, and Feature Store-driven data quality checks. Prior roles at retail analytics and agriscience firms show strong causal inference and optimization skills applied to space allocation and customer targeting, and he has a track record of pushing model outputs into business systems like Salesforce to drive measurable conversion lifts. Beyond models, Rudraksh invests in knowledge sharing and ML Ops education, having pioneered cross-functional 'Knowledge Cafe' sessions and led internal SageMaker/AutoML trainings.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree Business Analytics and Information Management (BAIM) - Data Science Track, Master's degree Business Analytics and Information Management (BAIM) - Data Science Track at Purdue UniversityHigh School Economics Mathematics and Science, High School Economics Mathematics and Science at Saint Xavier's Senior Secondary School
English, Hindi, Punjabi
Stackoverflow
1reputation
0reached
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Github contributions (5)
rudrakshsyal/ShinyApps_in_RStudio
Jan 2018 - Dec 2018
Contributions:3 commits, 4 pushes, 1 branch in 11 months
rudrakshsyal/Airbnb-Rating-System---Emotional-or-Rational
Jan 2019 - Jan 2019
Contributions:6 commits, 5 pushes, 1 branch in 3 days
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