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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 data science and analytics consultant with more than 10 years of experience in extracting insights from big and small data sets, identifying data-driven solutions for business problems and driving business growth. I have led projects on cutting edge data analytics problems with Facebook, Government bodies, Insights Centre and multiple international startups in Internet, Advertising, Retail, eRecruitment, PMO, Operations, Hospitality, and Real estates.
Main skills: - Data Science, Machine learning - Statistics - Forecasting - Text analytics, Text mining and Natural Language Processing - Business intelligence - Python, Pandas, Numpy, Scikit-learn - SQL, Hive, Presto - MySQL, Vertica, Oracle, SQL Server, CSV, JSON - Data Visualisation: Tableau, Microstrategy more
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.
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.