Summary
Robbie Manolache is a data scientist with eight years of experience combining industry analytics and quantitative PhD research in financial economics, currently applying advanced ML at Two Sigma. He has delivered production forecasting systems for electricity markets, built ML-driven products for agriculture, and created automated causal A/B testing tools for government policy evaluation. Skilled across Python, R, SQL and shell environments, he authors reusable packages and engineering patterns that streamline ETL, model tracking and deployment. Equally comfortable with time series, geospatial data and NLP, he ranks in the top 1% of Kaggle competitors and routinely translates technical work into stakeholder-facing dashboards and presentations. A pragmatic researcher, he has also implemented numerical algorithms in C++/Matlab and designed file-partitioning solutions to accelerate large-scale data workflows.
8 years of coding experience
7 years of employment as a software developer
Graduate Diploma in Finance, Graduate Diploma in Finance at University of Melbourne - Melbourne Business School
The University of Melbourne
Melbourne High School
English, Romanian, German, Vietnamese