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Dilyan Kovachev
Data Scientist with expertise in machine learning and analytics
Dilyan Kovachev is a data science professional currently serving as the Director of Machine Learning and Analytics at Treasure Data, based in the New York City Metropolitan Area.1 Here's a summary of his professional background:
Career Progression at Treasure Data
Dilyan has held several positions at Treasure Data, showcasing his growth within the company:
- Director of Machine Learning and Analytics (April 2022 - Present)
- Senior Manager, Machine Learning & Analytics (November 2021 - April 2022)
- Manager, Machine Learning Engineering (March 2021 - November 2021)
- Sr. Machine Learning Engineer (July 2020 - March 2021)
- Senior Solutions Engineer (April 2019 - July 2020)
Previous Experience
Before joining Treasure Data, Dilyan's career included:
- Data Scientist at Flatiron School (October 2018 - February 2019)
- Regional Manager of Tutor and Teacher Services at Summit Educational Group (September 2017 - September 2018)
- Senior Manager Publisher Business Development at PulsePoint (March 2015 - February 2016)
- Supply Yield Analyst and Publisher Business Development at MediaMath (March 2014 - February 2015)
- Investment Analyst roles at various companies (2007 - 2014)
Education and Skills
Dilyan completed a Data Science program at Flatiron School, where he gained expertise in:
- Statistics, Probability, Linear Algebra
- Machine Learning, Deep Learning, Natural Language Processing
- Python, SQL, OOP, ORM
- Various data science libraries and tools (Pandas, NumPy, Keras, TensorFlow, etc.)
- Big Data technologies (AWS, Apache Spark, Hadoop MapReduce)
Languages
Dilyan is proficient in multiple languages:
- English (native or bilingual proficiency)
- Bulgarian (native or bilingual proficiency)
- Russian (full professional proficiency)
- Spanish (limited working proficiency)
Certifications
He holds a Treasure Data Certified: Professional certification, issued in March 2022.1
Dilyan Kovachev's diverse background in data science, machine learning, and analytics, combined with his progression at Treasure Data, demonstrates his expertise and leadership in the field of data-driven technologies.