Simon Meng

Background

About Simon Meng

I enjoy the process of harvesting gold in data. Coming from an statistical background, I've been in the world of data for over 5 years. After my Data Technician job, I decided to further pursue my interest in data in the data science diploma program with BrainStation, in which I harnessed fundemental knowledge of both statistics and machine learning, big data knowledge. Coding ability in Python, SQL, R, Bash Visualization in Python and dashboards in Tableau Statistical analysis, hypothesis testing, A/B testing, statistical models and evaluation, etc. Machine learning algorithms (KNN, random forest, clustering, PCA), neural networks (e.g. CNN, Reinforcement Learning) Automation using Bash, Familiarity with big data, Hive, Hadoop, Spark, AWS Result oriented analyst with critical & out of box thinking, excellent communication skills with charts and maps. Hands-on practice with data cleaning, data visualization, automation and reporting. Great team player and fast learner with exceptional attention to detail and problem-solving skills. Actively looking for data science opportunities in various industries, as I believe data conveys insights effectively.