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I have been involved with data for more than 20 years, been a consultant and instructor of SQL, Business Intelligence, SSIS, SSRS, SSAS, data mining, Big Data, Hadoop, machine learning, R, Pig, Hive, MapReduce.
Designing and creating a new Big Data and Advanced Analytics Platform. Brining Digital Transformation to a FTSE 100 company. Utilising Cloud technologies to provide a common Digital platform for the IoT and Analytics solutions to the broader Babcock Enterprise and external markets of Defence, Energy & Critical National Infrastructure. Delivering a comprehensive market review of Cloud providers and identifying the appropriate Cloud Provider for the organisation. Developing the business case for creating the new Microsoft Azure based Analytics platform. Designing a hybrid Analytics Platform hosted on Azure, both Cloud and Stack. Producing the Big Data options for Babcock and developing both analytical and Big Data POCs. Developing IOC on Microsoft Azure including tools such as IoT, Azure SQL, Data Lake, Data factory, HDInsight, Machine Learning, IoT, Artificial Intelligence (AI), TensorFlow, Python PowerBI and APIs. Responsible for delivering the platform into Production and on boarding internal and external customers. more
Data Scientist / Credit Risk Analyst / Automation Developer
Recently, helped to develop and set up automation using SAS DI Studio to run hundreds of report per month, and implemented monitoring tools for the DI Studio. Implemented Credit Scorecard using weight of evidence/information value and implemented cash flow model for calculate the impact uplift from model and cost Developed Hopfield Stochastic model to calculate probability of default, and reduce the time of calculation from 2^n to 2n Integrated the partial differential equation of logistic type equation (including gompertz / baranyi) instead of from time 0 to t and calculate from any time point t1 to t2 Implemented a program to download customer feedback into SQL database, then use R to perform word cloud, and putting summary back to Excel report, just by one button and within 2 minutes.
My passion for data analysis and interpretation stems from a very young age and has influenced my career and academic choices to date; taking me from a puzzle enthusiast in my teenage years to a mechanical engineer and most recently, an Energy and Data Analyst at Skanska.
Someone who looks at issues and problems within a business and searches masses of data to find the answers. Their field encompasses everything related to data cleansing, preparation, and analysis. Data science is an umbrella term under which many scientific methods apply.
What is the average rate for a data scientist?
The daily rate is £500-£550 depending on company size, location and candidate experience.
What are the top qualities to look for in a data scientist?
Complex problem-solving skills, strong skills in mathematics, a good understanding of coding, and the ability to assess risk.
Data scientist vs big data developer
Big Data consists of lots of items of Data. Data Science uses statistics to find the meaning hidden within the data to understand what is happening and why, whilst also making predictions about what will happen next.