Senior Data Management Analyst/ Data Scientist Resume Arcadia, CA - Hire IT People

SUMMARY:

Proficient in SAS, R, Python, Oracle PL/SQL, SQL server, PostgreSQL, UNIX, Hadoop, Hive, Impala, Spark, Scala, Octave, Gitlab, JIRA, Jupyter, Spyder, Scikit - learn, Pytorch.
Master degree in Statistics major, familiar with mathematical statistics, regression, machine learning, data mining, neural network, decision tree, time series forecasting, survival analysis, experimental design, advanced calculus I II, linear algebra.
Very strong problem solving skills and quantitative/ analytical thinking capabilities.
Good professional speaking, writing, and presentation skills.

WORK EXPERIENCE:

Senior Data Management Analyst/ Data Scientist

Confidential, Arcadia, CA

Responsibilities:

Transform our existing process of different products into Big Data platform by applying Python technology such as package: Pandas, Numpy, and Matplotlib. Apply the statistical analyzing method in R, discuss the result with manager and modify, create high-level summary report.
Participate the project of machine learning from: gather data, prepare data, choose model, training, evaluation, tune parameters, prediction by applying python package: Keras and Scikit-learn, Pytorch, familiar Neural Network ANN, RBM, Auto Encoder.
Post Processing data as big as 14Billion jumbo size on claims and enrollment files, including modification of parameters to get intermediary files, then proceed the analyses by SAS.
Modify the algorithm and optimize the models of software: Health Designer and Manager. Test validity by analyzing the reason of discrepancy of test and real results with SQL server. Improve accuracy gradually from 30% to 99%.
Analyze data for different tasks, such as fill rate of column, dynamically extract data, or feature analyses with programming of ORACLE PL/SQL.
Deliver Clinical benchmark products, including editing parameters, changing macro with SAS, running script within UNIX and helping team in finding better solution to finish task even 3 days earlier while all thought we would miss the deadline.
Participated the Big Data training of company and the Big Data certificate courses from Coursera.