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I have 18 years experience working in Research and Development, of which the last 8 have been spent working as a data scientist. I undertake projects in Natural Language Processing and other areas of Machine Learning and Artificial Intelligence for clients ranging from startups to multinationals. My work enables my clients to innovate.
I am a proactive and technologically minded professional with a strong academic record and commercial experience in data science projects for both private and public organisations. Interacting closely with C-level executives and business stakeholders, I have developed a high level of business acumen in retail, FMCG, higher education, and the healthcare sector. My adaptability, problem-solving mindset and strong communication skills, moreover, allow me to work collaboratively within multidisciplinary teams as well as cope with pressure and keep on top of deadlines effectively.
• 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)
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.
An experienced, professional degree holder Data Engineer/Designer/Developer (contracts), serving in the IT industry for around 20 years working for world-renowned organisations like Money Supermarket, NHS, Mott Mac, Betfair, LV=, JP Morgan Chase, GE Money (now GE Capital), QBE, Fidelity, Churchill (now part of RBS) etc. A flexible professional who draws leverage from years of experience to quickly adapt to the new tools and technologies. With a wealth of experience, have developed an approach and a way of thinking that helps develop solutions efficiently (with new/old technologies) as is evident from the proven track record.
Have worked on full life-cycle projects, enhancements as well as production fixes/trouble shooting involving coding, version control, build automation, continuous integration, QA testing, change requests and code deployments. more