Qiao Gu

3+ years of extensive quantitative experience in advanced predictive analytics and big data with experience of model development, implementation and maintenance using R, Python, Hadoop, Oracle and UNIX Shell scripting Knowledge of advanced statistical analysis and machine learning techniques including regression analysis, multivariate analysis, time series analysis, deep learning, tree-based ensembles (random forest, adaboost etc.), experimental design, survival analysis, bayesian modeling and statistical hypothesis testing Knowledge of Big Data techniques including: - Install, configure and test Hadoop/Spark environment and analyze its performance benefits; - Research, design and implement innovative machine learning algorithms on distributed platforms; - Integrate R with Oracle/Hadoop database systems (RJDBC/SparkR) for real-time model fitting, data retrieval and model (R object) storage/updates Experience in designing, creating and modifying Oracle table structures. Experience in writing complex SQLs (Impala/Oracle) to extract and clean data, bucketing data, and generating data in different formats (e.g. Time-series format, correlation metrics); Worked on BLOB/CLOB retrieval and loading from R to Oracle Expertise in data management, including data cleansing, data visualization, exploratory analysis to raw data, missing values and creating graphs Team player with problem-solving, trouble-shooting, inter-personal and communication skills