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My ambition as a computer engineer and data scientist is to work for the IT industry providing my services and constantly improving my skills and knowledge on this field of arising interest and importance. Processing data using the latest technologies, to provide companies, organizations or even governments with significant knowledge and insight for crucial matters (commercial, security, etc.) is what I intend to work for. Data is information in its abstract form, which can provide knowledge. With knowledge comes great responsibility, thus I believe that working as a data scientist is highly influential and contributing, giving us the chance to add another brick in the wall of a better tomorrow.
I help businesses creating value of their data based on state of the art data analysis and modelling techniques. During my PhD, I designed machine learning and data mining tools for the Swiss government. The result are the current national radon map of Switzerland and 5 first author papers on the application of random forest, Bayesian additive regression trees, kernel regression and other data science methods.
PhD and MSc qualified results driven data scientist/statistician with proven expertise in the application of statistical modeling/machine learning. Strong knowledge of predictive modeling techniques with the ability to generate actionable insight from complex data and stakeholder requirements. Recently awarded an MSc. in Data Science & Analytics from Royal Holloway, Univ. London with distinction.
• 12+ years experience in deriving pragmatic, actionable insight from data, • Advanced analytics, Predictive modelling, Data Visualisation, • Process Automation, Machine Learning, • Locating bottlenecks and optimising business operations, • Strong background in the engineering research and development, • Data lifecycle management (ETL) • Product Optimisation, Design of Experiment using Simulation Tools https://www.linkedin.com/in/kprzysowa/
A results-driven data scientist, who can think “out of the box”. Self-motivated, quick learner and persistent. Experienced in various programming languages, frameworks and libraries. Capable of manipulating datasets, performing statistical analysis, solving complex problems and managing tight deadlines.
Accomplished Data Scientist and Machine Learning Engineer with extensive consultancy experience. Excellent understanding of Statistical methods coupled with Engineering and Computer Science background. Worked on Machine Vision and Natural Language Processing. Analytical approach to problem solving yet stay focused on client objectives.
• Developed a Machine Learning model to classify objects in video footage using transfer learning (YOLO v3). • Time series analysis and anomaly detection. • Comprehensive knowledge of ETL techniques using Python and SQL. • Comfortable with a variety of software tools and learn new ones quickly when required. Self-taught in Visual Basic and PHP when need as part of a workflow. • Automation Practice Leader for IBM UK. Managerial and team-lead experience. Generate ideas for optimizing existing workflows through automation. more
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.