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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.
Team-centered data scientist with a relentless curiosity and ethical drive. Over 3 years’ experience as a data scientist with a deep curiosity for learning new data science techniques and methods while being able to deliver understandable explanations through clear language and visualizations for shareholders. Extensive project management experience with a track record of success
• Cornell Honours graduate in Statistical Sciences with applied project/team experience in statistical consulting units and hospitality industry • Background in theoretical statistics and applied mathematics with advanced set of programming skills; project management experience handling large data sets – sampling/cleaning, analysing, presenting • Business Analytics 2017 MSc student at Imperial College aiming to pursue career in data science more
I am a creative and analytical problem solver. Fuelled with a desire for simplicity and evolution. With the goal to use the best technology and ideas to seamlessly enhance daily activities and quality of life for all people.
I am passionate about Analytics and using statistical techniques to create a data driven organisation. I am familiar with most statistical techniques including Linear and Logistic Regression, CHAID, Clustering, Neural Networks, Association Models as well as NLP for text analysis. I can bridges the gap between the technology, statistics and business. He is also passionate about the value of Social Media data and its value in better understanding of customers.
I have architected and developed SaaS predictive solutions for marketing, experienced in working in an Agile environment and product development.
Skills: R, SQL, SPSS, Tableau
2 of the last organisations I have worked for have been in the Times Tech Track 100 (Black Swan 2017, Portal 2012)
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.
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