Dilyan Kovachev is a data scientist with a passion for data analysis, problem-solving, workflow efficiency, and task automation. With a prior background in finance, ad-tech, and education, he enjoys working on projects that explore data deeply and incorporate cutting-edge technologies, innovation, and creativity. Kovachev has a post-graduate diploma in machine learning and artificial intelligence from Columbia Engineering and a bachelor's degree in economics/math from Trinity College. He has worked for numerous organizations in various positions, including Manager of Machine Learning Engineering, Sr. Machine Learning Engineer, Senior Solutions Engineer, Data Scientist, Regional Manager of Tutor and Teacher Services, Mathematics Tutor, Program Director, Senior Manager Publisher Business Development, and Investment Analyst and Financial Consultant. Kovachev's experience in SQL, Python, and many of its popular data pre-processing and machine learning libraries such as Pandas, Scikit-learn, TensorFlow, and Keras makes him a valuable asset in any data science project. In his free time, he enjoys fitness and nutrition, soccer, exploring new things, and cooking.