About

Benjamin Isip is a highly skilled Machine Learning Engineer with a passion for using data science techniques, machine learning methods, and visualization tools to parse and make sense of large unstructured datasets. With over 7 years of relevant experience, he has a proven track record of creating useful, scalable models for decision-making, forecasting, and prediction. Currently working at Accenture, Benjamin has strategized and implemented technical solutions for vision and text applications, managed issues and bugs related to Google Firebase Machine Learning Kit, and provided expertise for TensorFlow Lite on the creation and application of custom learning models. He has also overseen support and technical guidance to partners and the Google developer community. Prior to this, Benjamin worked as a Data Science Analyst at Accenture where he built deep learning and machine learning techniques to perform testing and build proof of concepts with Google Cloud Platform, Tensorflow, and Intel AI libraries and tools. He derived insights using data scraping and machine learning techniques to provide actionable data and informed strategic business decisions. Additionally, he led a team of analysts in data collection efforts and researched computational resources. Benjamin has also worked as a Data Science Analyst at the Data Science Student Society at UCSD where he utilized natural language processing and statistical learning tools to model a text classifier using the 20NewsGroups dataset. He demonstrated in-depth knowledge and usage of statistical learning libraries and conducted a performance analysis on methods of data preprocessing and types of models used. Benjamin holds a Bachelor of Science (B.S.) in Cognitive Science with a specialization in Machine Learning and Computation from the University of California. He also attended Bellarmine College Preparatory. Benjamin's technical skills include ML, Data Scientist, Object detection, TensorFlow, Object Detection, Android, iOS, Web, AI, Deep Learning, test, Naive Bayes, Word2Vec, Bag of Words, NLP, Scikit, and Pandas. With his extensive experience and technical expertise, Benjamin is a valuable asset to any organization looking to leverage data science to drive business growth and success.