Group Manager/Data Scientist Resume Group Manager/Data Scientist - Hire IT People

CORE E XPERTISE:

Proficient in Python, R, SAS programming and visualization in tableau.
Excessive experience in SQL database .
Adept at working with big structured and unstructured Data .
Strong machine learning, data mining, dat a analysis, data modeling and automating reports.
Excellent oral, written English and presentation skills.

PROFESSIONAL H ISTORY:

Confidential

Group Manager/Data Scientist

Responsibilities:

Building OSA (obstructive sleep apnea) risk algorithms with machine learning methods to appropriately identify moderate to severe OSA patients with no prior history of OSA diagnosis, and convert to the most appropriate sleep testing.
Developed an innovative and novel provider scoring algorithm to evaluate the quality, cost and operational practices of the providers by using both claims and our non - denial consult data. The algorithm improves the delivery and quality of Health care operation.
Develop savings metrics and prospective analysis for new quality/safety focused programs and program enhancements. Building predictive analytics.
Monitor both program performance and operational success. Automating audit process and ad hoc and recurrent reporting.
Working closely with client service analyst and program manager to drive down operation cost by performing extensive financial analysis. Building Claim analysis tool and cost driver tool.

Confidential

Medical Economist/Data Scientist

Responsibilities:

Deep mining healthcare claims, consults and members related data. Identifying and explaining present and anticipated trends. Building and applying predictive and statistical analysis.
Developing and producing client specific reporting to audit quality and safety indicators by programs (radiology, oncology, cardiology and sleep). Developing saving metrics for new programs.

Confidential, Madison

Senior Statistical Analyst

Responsibilities:

Finding pattern of student data, developing and improving economic and statistical methodology to evaluate school, teacher and principal performance and effectiveness.
Predicting student achievement using prediction model.
Standardizing statistical processes and protocols to improve effectiveness and avoid errors (including six phases: data quality analysis, analysis data preparation, modeling, output, QC (quality control), reporting).
Work with stakeholders to meet their demands and develop analytic plans and strategy; identify the technical, financial, and logistical issues associated with policies and programs.
Providing technical consultation to school districts, states and education foundations.

Confidential, Madison

Statistical Analyst

Responsibilities:

Conducting statistical and econometric analyses of student assessments for evaluating school (or teacher) performance and effectiveness.
Preparing reports for school districts, states and as well as funding agencies and foundations.

Confidential, Des Moines, IA

Intern

Responsibilities:

“Mining” data for relationships between payers and their payment behavior, with goal of identifying groups of payers who are less likely to meet obligations.
Using scoring model to forecast future behavior of new payer by predicting the probability of being delinquent.

Confidential, Ames, IA

Statistical Analyst

Responsibilities:

Applied logistic regression to select significant effects with the spline method.
Built a longitudinal logistic model to predict lung cancer risk following smoking cessation found that age of quitting is an important factor.