SUMMARY:

• Motivated and results - driven data scientist and developer with 12 years of hands-on experience in advanced statistics, machine learning, and programming.
• High ability to identify business needs and develop valuable solutions to improve accuracy and process efficiency.
• Seeking an opportunity to help you drive business effectiveness through computer science and data science applications.Major Skills
• Machine Learning Big Data (Hadoop, Hive, Pig, Spark)Data Visualization
• Mathematical Model Programming (Python, R programming, Scala, SAS, Linux, Java, C++)
• Predictive Modeling Cloud Computing (AWS, Azure)Database (SQL, NoSQL)

PROFESSIONAL EXPERIENCE:

Senior Machine Learning Engineer

Confidential, CA

Responsibilities:

• Responsible for strategy, design, development, and implementation related to Machine Learning and Data Science.
• Designing, developing and implementing machine learning, deep learning, time series models, and other core algorithms for big data based financial success on AWS.
• Modeling behavior science and wealth management for building Behavioral Artificial Intelligence Personal Finance platform. (4) Collaborating in test algorithms and deploy products.
• Contributing to technology and business decisions with CxOs, and VPs.

Modeling and Data Integration

Confidential, CA

Responsibilities:

• MapReduced and Interpreted big data with Hadoop, Hive, Pig, and Spark. (2) Conducted statistical analysis, predictive modeling, machine learning and other mathematical modelings with Python, Java, Scala, R programming and C++.
• Stored, accessed, retrieved, analyzed data and did cloud computing for a variety of sources on servers, clusters and clouds with Linux command, SQL and NoSQL. (4) Managed funding applications, projects, and tasks in activities related to data and mathematical model integration.
• Expanded business: presentations, reports and data visualizations in scientific journals and at conferences.

Postdoctoral Scientist, Project Leader

Confidential, CA

Responsibilities:

• Conducted descriptive statistics, exploratory analysis, machine learning and big data analysis with Python, R programming, and Wolfram Mathematica.
• Extracted knowledge and insights from structured and unstructured data on the remote server and the local machine with Linux and Windows. (3) Participated in planning, roadmap and architecture discussions to help evolve data science into revenue-generating products.
• Communicated results through presentations, reports and data visualizations at international conferences and in scientific journals. (5) Collaborated with experts on the interdisciplinary team to solve problems using data science approaches and techniques.

Data Scientist, Project Manager

Confidential

Responsibilities:

• Developed and carried forward a coherent research strategy in predictive modeling, machine learning, big data analysis and environmental information systems with Python, SAS, and R programming.
• Managed funding applications and framed projects. (3) Provided expert opinion and commentary to external audiences and organizations. (4) Supervised, lead and mentored junior researchers and scientists in research projects.
• Initiated and developed connections with internal departments and centers, external institutions, universities and professional organizations to actively foster collaboration. (6) Developed a body of publications in well-recognized peer-reviewed outlets.

Scientist on Environmental Data Science

Confidential

Responsibilities:

• Conducted innovative data-driven solutions to complex scientific problems, ideas, concepts and theories and applied predictive modeling and other appropriate mathematics-based methodologies with SAS, Python and R programming, SQL and ArcGIS.
• Presented research at national and international conferences and in journals. (3) Designed information systems solutions based on needs and problems to be solved.
• Assisted and supported senior researchers in their day-to-day tasks. (5) Guided and evaluated researchassistants.

Scientific Data Analyst

Confidential

Responsibilities:

• Stored data into and retrieved data from environmental information database with SQL. (2) Collected data from various data collection systems and online datasets.
• Cleaned and prepared data for environmental model simulation. (4) Performed statistical analysis of retrieved data, experimental data and model output data with Python and SAS programming.

Statistical Modeler

Confidential

Responsibilities:

• Interpreted rich data sources. (2) Conducted descriptive statistics, linear regression, nonlinear regression and predictive analysis with SAS programming. (3) Built mathematical models using the data. (4) Presented and communicated the data insights.

Data Analyst, Web Developer

Confidential

Responsibilities:

• Guided and evaluated students on data analysis and descriptive statistics with Matlab. (2) Designed and developed websites for college’s courses with HTML. (3) Assisted and supported professors and researchers with data analysis.

Research Assistant on Data Analysis

Confidential

Responsibilities:

• Analyzed long-term time series datasets with SAS programming. (2) Collected data from Eddy Covariance System and Automated Weather Observing Systems. (3) Performed data review and data cleaning of raw data with quality control.