Dilyan Kovachev
Chief Field Data Scientist
New York, New York, United States
Summary
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Top SchoolDilyan Kovachev is a Chief Field Data Scientist with eight years of experience applying machine learning and analytics to ad-tech, finance, and education problems, currently leading data science strategy and field deployment at Treasure AI. He combines hands-on expertise in Python, SQL, Pandas, Scikit-learn, TensorFlow and Keras with a track record of moving through successive leadership roles from senior engineer to chief within the same company, evidencing strong execution and team-building skills. His background in finance and publisher business development gives him a rare blend of quantitative rigor and commercial product sense, enabling models that are both performant and operationally valuable. A Columbia Engineering postgraduate in ML/AI and Flatiron School alumnus, he publishes technical writing and maintains a GitHub presence, signaling continuous learning and community engagement. Outside of work he pursues fitness, soccer, and cooking, often approaching data problems with the same discipline and creativity he applies to nutrition and training.
7 years of coding experience
8 years of employment as a software developer
Post Graduate Diploma, Machine Learning and Artificial Intelligence, Post Graduate Diploma, Machine Learning and Artificial Intelligence at Columbia EngineeringBachelor of Science - BS, Economics/Math, Bachelor of Science - BS, Economics/Math at Trinity College-Hartford
English, Bulgarian, Russian, Spanish
Github Skills (8)
wordle-game8
python4
data-visualization3
data-analysis3
pandas3
data-science3
business-analytics1
data-engineering1
Programming languages (3)
Github contributions (5)
Botafogo1894/plotly-lab-data-science-intro-000
Jul 2018 - Aug 2018
Contributions:235 pushes, 1 branch in 1 month
Botafogo1894/evaluating-regression-lines-lab-data-science-intro-000
Jul 2018 - Oct 2018
Contributions:381 pushes, 1 branch in 2 months
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