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Egor Howell

Machine Learning Engineer @ Deliveroo/DoorDash
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About Egor

Data Scientist & Machine Learning Engineer specialising in applied machine learning, time series forecasting and optimisation / operations research problems.

Background

Machine Learning Engineer at Deliveroo

Improved restaurant load-time predictions via feature engineering by allowing the Generalised Additive Model (GAM) to better capture delivery types. This increased order "stacking" rate, reducing rider costs and saving an estimated £2M globally.

Data Scientist at Gousto

Delivered a LightGBM-based recipe popularity forecast, a Simulated Annealing stock optimisation, and a Mixed-Integer Programming (GUROBI) factory throughput model, achieving a combined cost savings of over £1.3 million annually.

Graduate Data Scientist at Hastings Direct

Graduate scheme in the Actuarial & Data Science and Claims Analytics teams, developing models for auto repair, peril risks, and customer renewals. Used CatBoost, XGBoost, Bayesian Hyperparameter Tuning, Generalised Linear Models, and SQL (Snowflake).

Track record

Bringing real-world expertise from leading global companies

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Academic background

Master's degree, Physics

University of Surrey

What can Egor teach you?

Data Scientist & Machine Learning Engineer specialising in applied machine learning, time series forecasting and optimisation / operations research problems.

Machine Learning Time Series Analysis Python Deep Learning Data Science SQL Databases Supply Chain Optimization Operations Research