CURRICULUM VITAE
SANTOKH SINGH, Ph. D., FRSS
E-mail: *************@***.***
HIGH LIGHTS
Ph.D. and Master’s degree in Statistics, with rigorous coursework in Statistical methods, Data collection and analysis, Designing and conducting sample surveys, and Computing techniques; followed by postdoctoral experience in these areas at
Rutgers University, USA
University of Gent, Belgium.
Fellow, Royal Statistical Society (FRSS), United Kingdom.
U.S. Citizen with Secret level security clearance.
Fifteen-plus years of experience in statistical methodology, data collection, data analysis, modeling, data science techniques, consulting, writing and publishing reports, leading teams of data scientists and analysts, managing projects related to statistical methodology, and conducting data analysis, data collection, and sample surveys (details in the following section: Work Experience.)
WORK EXPERIENCE (press Ctrl key + mouse Click a title below for details of the related experience)
1.Statistical and Data Science Consultant
2.Lead Statistician
3.Senior Statistician - Project Lead
4.Senior Statistical Consultant - Project Manager
1.Statistical and Data Science Consultant (Since July. 2023)
Responsibilities, Accomplishments, and Related Skills:
Expertise in R, SAS, Artificial Intelligence (AI) including Machine Learning, SAS AI.
Liaising with clients needing statistical and data science consulting and providing advice on the relevant research methodology, as a freelance consultant.
Providing statistical training, advice, and support for sampling, data analysis, and report preparation.
Providing bespoke statistical analyses tailored specifically to the requirements of clients. proposing techniques that often differ from one project to another.
Developing general macro for extracting significant information, such as variable type, attributes, and frequency tables (with weighted and unweighted frequency tables) from small to large databases, preparing general purpose Data Book for a database.
Book in progress, ‘Marketing and Financial Data Analysis for Business Control.’
2.Lead Statistician (July 2022 – Nov. 2022)
SAIC
12010 Sunset Hills Road, Reston, VA 20190
Responsibilities, Accomplishments, and Related Skills:
Lead a team of 4 statisticians and data analysts.
Planned data collection events and determined sample sizes.
Conducted data analysis in classified work areas.
Provided statistical consulting to customers on data analysis and understanding of the results.
Answered customer questions about statistical methodology and the associated underlying theory.
Developed master and auxiliary programs in R for data analysis using statistical analysis and modeling methods.
3.Senior Statistician - Project Lead (June 2010 – Feb. 2022)
Bowhead Logistic Solutions -UIC Government Services
@National Center for Statistics and Analysis
4900 Seminary Road, No.1200 Alexandria, VA 22311.
Responsibilities, Accomplishments, and Related Skills:
Conducted statistical modeling and analyses of large, computerized databases. Used a broad spectrum of univariate and multivariate techniques and data mining, including non-parametric and Bayesian methods, and linear and nonlinear models for quantitative and qualitative data.
Developed and implemented new statistical methods, models, and algorithms to solve problems for which standard techniques were not available - developed and implemented (i) Weighting method for a terminated survey, (ii) Sample size determination under constraints, (iii) Modeling method of classification-based prediction.
Hands-on experience in sample-weight calculation and data imputation of large and complex databases; developed weights for national-level databases.
Managed projects focused on univariate and multivariate analyses of quantitative and qualitative data, data mining, modeling, sample survey design, and data imputation - managed 50 plus projects of varied nature and complexity over the past 10 years.
Supervised and mentored two teams of 10 Statisticians and Analysts with varied backgrounds; responsible for planning, organizing, coordinating work, and completing deliverables with strict deadlines; worked on multiple projects of normal to high priority.
Led two teams of statisticians and data analysts - conducted performance evaluations and recommended annual salary raises; handled administrative and personnel matters; recommended and approved training courses; worked as hiring manager.
Developed complex computer programs for univariate and multivariate statistical procedures using statistical software SAS and SUDAAN. Specializes in SAS Macros and Interactive Matrix Language (IML) of SAS.
Wrote technical reports, research papers, crash*stats, facts sheets, and research notes on subject matter studies – published 45-plus reports in journals, conference proceedings, and internet media.
Provided statistical and computational consulting and analytical support to researchers on methodology, data collection, compilation and manipulation, and computer programming. Collaborated with researchers from government, academia, and private organizations.
Reviewed technical reports, research papers, research notes, and other analysis-related documents prepared by team members and researchers from other organizations and prepared formal review reports.
Prepared and presented modeling and analysis findings to senior management, local groups, national meetings, and national and international conferences.
4.Senior Statistical Consultant - Project Manager (June 2005 – May 2010)
URC Enterprises
@ National Center for Statistics and Analysis
17106 Thatcher Ct, Olney, MD 20832, U.S.A.
Responsibilities, Accomplishments, and Related Skills:
Conducted univariate and multivariate analyses, data mining, modeling, and simulation, including descriptive, exploratory, and inferential analysis, categorical and nonparametric analysis of the data retrieved from complex large databases and national sample surveys to produce technical reports, research notes, and Crash*Stats.
Contributed significantly to designing and conducting sample surveys; quality control, data imputation, and analysis of the collected data; major contribution made to all aspects of the national survey, “National Motor Vehicle Crash Causation Survey.”
Led a team of 8 statisticians and data analysts; managed and supervised more than 20 projects - assigned projects to team members, oversaw data analysis from large databases, and prepared technical reports, research papers, and research notes documenting the findings of modeling and analysis.
Planned and coordinated analysis and preparation of report to Congress and other major studies, based on large databases and national sample surveys.
Developed project proposals and initiated more than five studies based on these proposals.
Provided consulting and analytical support to statisticians and non-statisticians on sample survey design, data compilation, data quality control, data imputation, statistical analysis, and interpretation of results.
Developed general-purpose computer programs by integrating multiple analysis techniques using statistical software SAS (SAS macros, SAS/IML, SAS/GRAPH.)
Developed and implemented applications using SAS macros and IML to generate data summaries and frequency tables of all or selected data elements of a database.
Reviewed 25 plus technical reports, research notes, research papers, and other analyses related documents prepared by the team members researchers from other organizations and academia.
Provided statistical support to the government agency in a lawsuit, sample size determination for a national survey, study based on limited data, and building model for the early warning reporting system.
Worked as a statistical expert and consultant for Blue Ribbon Panel on technical evaluation of project proposals.
Served as a principal statistical investigator in an independent evaluation of a national project and as the technical expert on the evaluation committee for a national-level project.
Published 25-plus reports in national and international conference proceedings and other scientific literature and presented statistical findings at local and national meetings, conferences, and management briefings.
PROFESSIONAL ACHIEVEMENTS
Professional Award
Fellow of the Royal Statistical Society, United Kingdom
(The Royal Statistical Society is one of the top international societies of statistical research advancement that awards fellowships based upon contributions made to the field of Statistics.)
Professional Publications and Presentations:
45-plus publications: technical reports, research papers, and research notes; published in peer-reviewed journals, national and international conference proceedings, and other literature
(Available upon request.)
Presented data analysis findings from sample survey data, proposed statistical techniques, and sample survey findings at national and international conferences and meetings
(Available upon request.)
COMPUTATIONAL AND SOFTWARE EXPERIENCE
Hands-on-Experience in Computing, Statistical/Mathematical Software, and Programming:
Fifteen plus years of experience in statistical and mathematical computing, using a variety of software and platforms operating systems and platforms at computing facilities in the U.S.A., India, and Belgium.
Highly proficient in statistical/mathematical and graphics software and programming:
SAS, SAS Macros, SAS/IML, SAS/STAT, SAS/INSIGHT, SAS Enterprise Guide (Expertise in developing SAS Macros and IML), SUDAAN, and graphics software SAS/GRAPH, Sigma Plot and MS Excel.
R, MINITAB, STATISTICA, MATLAB, and IVEware.
Highly proficient in using MS applications and TeX/Latex typesetting system; prepared a significant number of reports and presentations for local and national meetings, conferences, and management briefings.
ACADEMIC BACKGROUND
Postdoctoral
Data analysis, statistical/mathematical modeling, and data simulation at
Rutgers Business School, Rutgers University, New Jersey, U.S.A.
Laboratorium voor Petrochemische Techniek, University of Gent, Belgium.
Doctoral: Ph. D. Statistics
Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, India.
Dissertation Title:
“Design and Analysis of Experiments for Model Discrimination in Uniresponse and Multiresponse Systems”