Statistical data Analyst Resume

SUMMARY

Certified statistical business data analyst with more than 5 years of experience in statistical analyst, market studies, SAS developer, and SAS analysis
Certified data miner with experience with advanced predictive modeling skills using SAS EM, EG, JMP, and forecast studios
Certified base SAS programmer with extensive experience working on SAS/BASE, SAS/STAT, SAS/MACRO, SAS/GRAPH, SAS BI, SAS/ODS
Experience in dealing with big datasets, combining datasets, exploring data, model fitting up to scoring
Expertise in preparing statistical reports, generating summary reports, tables, histograms, graphs with analysis, and ad hoc requested reports
Extensive SAS programming experience with PROC SQL, UNIVARIATE, MEANS, GLM, ARIMA, Report, Tabulate, Transpose, Plot, Chart, and SAS/STAT Procedures
Experience delivering analytic report in different formats including CSV, HTML, RTF, PDF, and customizing reports using SAS ODS, PROC report, and SQL pass through facility.
Good knowledge of data extraction and sorting data from various databases: Teradata MS Access, SQL server
Extensive practical ability working on multiple regressions, logistic, multinomial regression, and neural network
Extensive experience with advance model fitting using principles component, PLS, LARS,LASSO, and more
Experience with high performance modeling using gradient boosting, random forest, credit scoring, and more
Experience with advance data mining using rule induction, incremental response, two stage modeling and more
Practical econometric modeling: ESM, AR,ARIMA, Credit scoring - survival and hazard analysis
Experience and training in quantitative and qualitative research data analysis and feasibility studies
Excellent organizational, interpersonal, and communication skills

PROFESSIONAL EXPERIENCE

Confidential

Statistical data Analyst

Responsibilities:

Appraised small business proposals, profitability, and market analysis
Accomplished several multiple regressions, logistic, multinomial regression, and neural network works
Managed statistical analytic system performance evaluation of different clients
Identified and recommended best practice methods, installed, implemented and gave remote supports.
Lead analytic team to select, design efficient and cost effective data acquisition, processing, analysis, and auto updating spread sheet formatting, linked quantitative table generation for prompt solutions
Analyzing American coffee import and export trade through each ports
Conducting demand analysis of different coffee types in harmonized codes for the coming years
Built predictive modeling of imported coffee by type, code, value and quantity for the coming five years

Environment: Base SAS v9.3, SAS/Macros, SAS/SQL, SAS Enterprise Guide, SAS Enterprise Miner, SAS/ACCESS, SAS/STAT, Teradata, Project Management, Basel II, UE Studio, Windows XP, UNIX

Confidential

Statistical data Analyst

Responsibilities:

Analyzed crime data of seven cities, seven data sets of daily records provided to be analyzed
Merged different big data sets using SAS,JMP, SAS EM, SAS EG
Conducted data transformation, Interpolation, imputation, splitting, fit the model, compare the model
Conducted advance Model fitting, Nominal logistic for categorical response analysis
Conducted advance Model fitting, neural network and Regression for rate response analysis
Built advanced predictive models, and time series model fitting based on the estimates, and scoring
Conducted advanced forecasting of ten years using SAS forecast server

RESEARCH ASSISTANT / GRADUATE ASSISTANT

Confidential

Responsibilities:

Organized research data, compiled, formatted, and merging different data sets
Analyzed the theoretical and economic interdependence of data trends
Diagnosed the distributions of raw data, statistical exploration, standardizing and transformations
Identified functional relationship of variables and derivation of economic variables
Analyzed statistical exploration of candidate variables and variable selection
Examined distribution analysis, outlier detection, hetroskedasticty tests
Built Econometric models, evaluated estimated model results, conceptual, and functional validation
Conducted risk analysis based on econometric model outputs

Environment: Excel solvers, Excel risk analysis platform, Maple, R, Gretel, STATA, Base SAS v9.2, SAS/Macros, SAS/SQL, SAS Enterprise Guide, SAS/ACCESS, SAS/STAT, Oracle 10g, Teradata, Project Management, Basel II, UE Studio, remote server, Windows XP, UNIX

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship