Data Scientist

Data Analytics Atlanta, Georgia, United States

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Summary

Data Scientist with over 2 years of experience.
Implemented and managed Forecasting and Optimization modules of revenue management pricing product for four leading
UK rail industry clients, generating millions of dollars in revenue with 3% revenue uplift.
Responsible for designing, implementing and supporting time series predictive modelling and market response models
involving an array of statistical, machine learning and price optimization models.
Enhanced the existing optimization model by introducing new parameters for balancing bookings revenue and ridership by
considering bookings forecast, price elasticity and available inventory.
Led cost reduction initiatives and reduced the batch processing cost in AWS by 60%.
Modeled an analytical engine in python leveraging regularized linear regression models for quantifying effect of holidays,
sports games and other events impacting rail demand further enhancing price sensitive demand prediction.
Aided developers in engineering of ETL processes for generating ensemble forecasts of random forest and statistical models.
Conducted thorough data cleaning, quality checks, data transformations and feature engineering using python and SQL for
end-to-end on-boarding of new customers and analytical support tasks.
Designed dashboards on QuickSight and developed KPIs for better data monitoring.
Collaborated with senior leaders and stakeholders from different verticals for design and implementation.