Derrick Livanze

Sophisticated Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in machine learning model formulation with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.

SKILLSET

• Possess Bachelor of Science(Bsc) in Mechatronic Engineering
• 3-year experience using datasets and statistical modelling
• Experience in NLP and creating chatbot virtual assistant
• Experience in presenting data using matplotlib and Tableau
• Experience with using machine learning techniques and algorithms such as neural nets and applying them in the real world.
• Experience in using web service such as Spark
• Experience in statistical programming language such as Python and SQL
• Experience in data mining techniques such as random forest.
• Possess strong communication and problem solving skills

Work History

July 2022- Active:

• Prototyped machine learning applications and quickly determined application viability.
• Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
• Transformed raw data to conform to assumptions of machine learning algorithm.
• Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
• Researched, designed and implemented machine learning applications to solve business problems affecting tens of users.
• Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings.
• Identified new problem areas and researched technical details to build innovative products and solutions.
• Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.

December 2022- Active:

2016-2022:

2012-2015:

2007-2011: