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• 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 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)
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.
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/