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machine learning, data analysis, R, SAS, Python, SQL, Matlab

Location:
Tallahassee, Florida, United States
Salary:
90000
Posted:
February 09, 2018

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Technical Skills:

Be familiar with Data and Analytics Tools/Language: Python, R, Matlab, SAS, MS office, SQL, GitHub, Tableau

Be professional at big data analysis

Be skilled at machine learning techniques

Education:

Ph.D. Candidate in Statistics Florida State University, FL Expected May 2018

GPA: 4.0, Qualifying exam passed 1/14

Advisor: Dr. Wei Wu

Dissertation Title: generalized depth in point process and semi-supervised learning in genetic data M.S., Applied Statistics: GPA 4.0 Florida State University, FL 2013 - 2015 B.S., Mathematics: GPA 3.9 Beijing Normal University, Beijing 2009 – 2013

Work and Relevant Professional Experience:

Data scientist co-op Monsanto, St Louis June 2017 – Dec.2017

Work in Global IT analytics department customer analytics team.

Prepare, collect and aggregate customer information big data.

Build strategic customer targeting model by unsupervised technique such as clustering and variable selection.

Create North America customer corn product recommendation system in R and Python.

Perform customer purchase record data visualization in R and Python.

Work cross-functionally with commercial department marketing team.

Ph.D. Research Experience

Florida State University, FL 2013 - present

Define generalized Mahalanobis depth in point process data and its application in neural spike trains ranking, prototype and classification by using R and Matlab

Reduce dimension by semi-supervised learning method and apply in breast cancer chemotherapy genetic big data generalized linear model by using R and Matlab

Functional data analysis with B-splines to estimate function curves by using R and Matlab

Point process prediction in neural spike trains by Kalman filter and Monte-carlo methods by using Matlab

Organize and write book chapters about applying Kalman filter in neural decoding with hidden states

Simulate peer review system by using Python

Instructor in Statistics Florida State University, FL 2015 – present

Lecture introductory statistics students in topics such as summary statistics, hypothesis testing, normal distributions, etc.

Be responsible for preparing all course materials including notes, activities, and exams

Recitation Instructor in Statistics Florida State University, FL 2013 - 2015

Grade and proctor bi-weekly quizzes, hold office hours for student questions

Publications:

Advanced State Space Methods for Neural and Clinical Data, Cambridge university press, contributor, 2015

Generalized Mahalanobis depth in point process data and its application in neural spike trains, accepted by Annals of Applied Statistics, first author, 2017



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