The future is algorithm，
Not code.
About Myself
My name is BoYu HA. I graduated from McMaster University with B. Sc. Degree in Honors Mathematics and Statistics in early 2015 and now am working at Natural Healing Health Centre as Customer Data Analytics.
In 2014, I got certified as an Advanced SAS9 Programmer and for now, I have experience in using business analytics software SAS and SAS Enterprise Miner with skills like macro, query and analysis.
I am proficient in Python and able to use different packages to finish processes like data cleaning, data extraction, visualization and predict the result with machine learning algorithms, like RandomForest, Regularized Regression, Gradient Boost Machine (GBM) and XGBoost. Also, I am learning deep learning knowledge in Python Tensorflow by online courses and resource now and already posted some of my work in this website. It is well-known as the key algorithm of applications like image recognition, automatic machine translation and artificial intelligence.
I used statistical programming language R with RStudio for a long time. R is a language and environment designed for statistical computing and graphics and provides a wide variety of statistical and graphical techniques. This open-source language is always the good choice for data analysis and visualization for small-median data level.
MySQL database is an important part for my daily job. In early 2016, I built the first version of Natural Healing Health Centre customer database, it was the first time I set up the whole database, from installing MySQL server, configuring parameters to import the original data from excel. It was a huge challenge for me at first since I never did something like this before. Although spent lots of time on troubleshooting the problem, I finally finish everything on time. In early 2018, I optimized the first version of this customer database, corrected some errors and typos, added some details table such as treatment duration and treatment frequency and generated the EER diagram for later work.
Since the end of last year, I started to learning data visualization software Tableau. Although data visualization is available for some programming languages like seaborn in Python or ggplot2 in R, Tableau visual dashboard makes everything totally different. I participated the online courses from Tableau official website and Coursera and finished some real-time projects with commercial database. Now I already used this software in my own data analysis project. Toronto House Price Analysis
In my spare time, I joined some basic-intermediate level machine learning and deep learning competitions in Kaggle and got pretty good results(top 5% - top 25%). This is not only the place I can get access to commercial database, but also the place I learn new methods, algorithms and ideas.
Personal Programming Skills Scores
Personal Professional Skills Scores
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About My Job
Natural Healing Health Centre is a clinic-like health centre which focuses on body rehab and musculoskeletal and sports injury recovery. We offers RMT Massage, Acupuncture, Osteopath and other recovery treatments.
My main job is to collect, assemble, clean and analyze customer information data. For now we have more than 8000 customers data with around 20 attributes, most of them are collecting from self-constructed online survey and questionnaires, insurance companies feedback, online booking system and Google Analytics. By all these data information, I can cluster customers into 4 groups : “Loyalty customer”,”Non-Regular customer”, ”Potential customer” and “Impossible customer” based on customer basic attributes, credit attributes, location attributes, consumption attributes, habit attributes, wealth attributes and so on. Since reduce the royalty customer churn and attract more potential customers are the most important things, different strategies are needed for different group of people. To provide price promotion for potential customers and satisfy royalty customers emotionally more, like sending them happy-birthday emails or offering some small gifts on Christmas Day.
Also, I need to provide quarterly customer report, indicating the fluctuating of different group of customers and possible reasons, the new strategies to attract new clients, like sending flyers or magazine advertisements. Sometimes I need to provide ad hoc recommendations.
