Programmer Analyst Resume

SUMMARY

PhD in Applied Math with solid background in statistical modeling
Strong analytical and quantitative problem solving skills
Strong experience and excellent proficiency in programming and data manipulation using SAS and R
Experience with complex data environments
Strong ability to work within tight deadlines and multi - task Financial services experience
Strong background in statistics data analysis/modeling: Monte Carlo simulations, bootstrapping, hypothesis testing, linear models, logistic regression, and time series forecasting models
Solid understanding and coding experience with various data mining algorithms: k-means algorithm, k-nearest neighbors, SVD basis classifiers, nonnegative matrix factorization
Expertise in solving real world problems using programmed models: data preparation; model calibration; validation and what-if scenario analysis for strategic recommendation
Advanced skills with SAS/SQL including SAS base, marco and querying data from various databases (e.g., Sybase, Teradata)
Extensive experience with Unix platform and korn shell scripting
Expert skills in Excel including pivot tables and VBA marco
Strong programming skills with Matlab, Mathematica, R and SAS
Strong flexibility and adaptability to work within tight deadlines and changing priorities

PROFESSIONAL EXPERIENCE

Programmer Analyst

Confidential

Responsibilities:

Use advanced SAS (Macros, proc SQL, etc.), UNIX scripting and Excel to develop analytical infrastructure to enhance business results and decision making in marketing for card acquisition
Create repeatable processes to transform large volume of data from multiple resources into information for econometricians to use for their analyses/reports
Enhance existing production process (e.g., identify opportunities to improve logic, automate processes) to dramatically reduce run time and increase work efficiency
Explore and identify appropriate data sources (multiple databases including Sybase, and Teradata)
Develop appropriate data quality and reconciliation checks and share results with clients and team members
Respond to questions, inquires, and requests from partners: identify root cause of various issues and facilitate issue resolution
Document work and processes Present output of projects to senior management

Postdoc Associate

Confidential

Responsibilities:

Worked as the main contributor and leader for projects on creating sophisticated computer modeling approaches to drive solutions to complex public health problems
Data manipulation with SAS and Excel: integrate data from multiple sources; exploratory data analysis for pattern recognition
Statistical modeling with R to identify the seasonality, trend and risk factors of an infectious diseases (used linear regression, time series spectral analysis, ARIMA forecasting models, and correlation analysis)
Confidential modeling with Matlab to reveal the behind-the-scene logic of disease transmission and determine the most efficient intervention strategies: used advanced techniques (e.g., Monte Carlo simulations) for parameter estimation and scenario analysis
Preparation of manuscripts for publication; presenting work results to diverse audiences
Teaching/Mentoring: organized seminars; taught multiple graduate level courses covering statistics, stochastic processes and dynamic programming