About

Christopher Frost is a Lead Technical Analyst and Data Scientist at DataCo Global, where he is responsible for creating bespoke solutions for a wide variety of data and information management challenges. He has over 13 years of experience in the industry, with a diverse skill set that includes business analysis, solution architecture, and solution development as a lead developer and data scientist. Christopher's main focus is on content management and migration technologies as well as data/context extraction. He works alongside subject matter experts to provide technical information to proposals and reports, elicit information to analyze current workflows, build multifaceted workflows and use cases, convert workflows into usable code, and create front-end interfaces for both colleagues and clients using web development techniques. He has experience using big data technologies such as Hadoop and Spark/pyspark, coding in C#, JavaScript, Java, Python, VBA, and integrating Python data analytics libraries such as Pandas, NLTK, Scikit-learn. He is also well-versed in database building and querying using SQL (PL, TSQL, MYSQL) and Neo4j Cypher. Christopher has undertaken research utilizing big data technologies, exploring how it can be applied in the domain of data science. He has presented his results at the Janet Watson meeting 2018. His research focuses on utilizing data science techniques and NLP to leverage context and extract tabulated data from unstructured data sources. Prior to his current role, Christopher worked at DataCo Limited as a Subsurface Data Manager, where he was responsible for internal development and technical work for various clients. He created bespoke databases for data processing, used full drive scans to data-mine documents to be processed within well data clean-up, and undertook bulk data-mining tasks using various programming languages. Christopher holds a Bachelor of Science (BSc) in Geological and Earth Sciences/Geosciences from the University of Manchester. He is skilled in Data Science, Research Science, SQL, NLP, Big Data, Web, Python, Neo4j, Cypher, Spark, Scikit, Javascript, Pandas, MySQL, Hadoop, Frontend, Senior Software Engineer, and Java.