Data Information Technology

EMMANUEL KWESI-AMONOO QUANSAH

* ******** ***., *.*.BOX 5815 ********@********.***

Potsdam, NY 13699 (315) 267- 6229

SUMMARY

More than four years experience in statistical modeling including risk modeling, design of experiments, actuarial statistics, linear/logistic regression, advanced data mining and predictive modeling. Experienced in handling huge data sets by writing R/SQL queries to extract relevant information or tables from data sets. Expert knowledge in Monte Carlo simulation, Time series modeling, machine learning, parallel programming, and using statistical software’s such as R, SAS, SPSS and SQL. EDUCATION

Ph.D. in Applied Mathematics, Clarkson University – Potsdam, NY May 2016(Anticipated)

• Adviser: Dr. Rana Parshad

M.Sc. in Applied Mathematics, Clarkson University – Potsdam, NY August 2011-May 2013

• Cumulative GPA 3.83/4.00

• Adviser: Dr. Kelly Joseph Black

• Focus of Study: Algorithm Development and Numerical Approximations of Stochastic Differential Equations (SDEs), PDEs and ODEs, Mathematical Modeling, Monte Carlo Simulation.

B.Sc. in Mathematics and Statistics, University of Ghana, Ghana August 2005-May 2009

(Combined Major) with Computer Science

• Cumulative GPA: 3.53/4.00

• Courses taken in Mathematics and Statistics: Financial Statistics, Bond Math, Stochastic Differential Equation, Probability, Data analysis, Regression Analysis, Statistical Inference, Advanced Statistics, Database systems, Algorithm and Data Structures, Operating Systems and Introduction to Programming. TECHNICAL EXPERIENCE

Data Analyst/Quantitative Analyst, Clarkson University, Potsdam, NY August 2011-Present

• Performed analysis on cross-sectional and time series datasets to spot trends and behavioral changes using advanced modeling techniques including logistic regression, linear/non-linear modeling in R.

• Performed social network analysis by utilizing Python to scrape data from REST APIs from various data sources (Facebook, twitter, Instagram). Obtained several statistics from over 50 million tweet data with 200 hash tags.

• Mastered stochastic process in the derivation method of Black-Scholes option pricing formula. Data Analyst, Ghana Statistical Service, Ghana May 2008-August 2008 Advanced Statistics:

• Provided statistical consulting services for some business client by building multiply regression models and logistics regression models on different data sets.

• Used advanced math and statistics techniques to develop and sort out complex data by using C++ and SPSS.

• Partnered with vendors, consultants, contractors, and professional organizations to help decode and analyze data to help in decision-making and surveys.

• Helped conduct and analyze business and information technology processes and prepare essential groundwork for business process and application changes through analytical support for implementing, calibrating, and monitoring behavior/response models. Market Research:

• Designed marketing and business projects for clients using advanced sampling techniques and research methods. This involved gathering, manipulating and synthesizing data with the help of Questionnaires. This helped to model and draw conclusions to business questions and make recommendations that assisted in driving the business.

• Identified opportunities, problems and trends to provide a sustainable marketing advantage by analysis the effect of advertising on some market products. EMMANUEL KWESI-AMONOO QUANSAH

8 Clarkson Ave., P.O.BOX 5815 ********@********.*** Potsdam, NY 13699 (315) 267- 6229

• Identified opportunities, problems and trends to provide a sustainable marketing advantage by analysis the effect of advertising on some market products.

• Helped uncover client requirements via industry standard analysis techniques such as risk modeling, data modeling and object modeling.

Actuarial Research:

• Initiated, organized, directed and analyzed actuarial research developed actuarial assumptions and maintains profit studies, pricing strategies and policies. COMPUTER / SOFTWARE LANGUAGE EXPERIENCE

• Programming Software: C, C++, SQL, Ruby, HTML, and Python.

• Mathematical Software: MATLAB, Simulink, MuPAD, Maple.

• Statistical Software: R, SAS, JMP, SPSS, Tableau, Stata, and Minitab.

• Others: Microsoft Office Suite-MS Access and Excel, LaTeX, UNIX. RESEARCH EXPERIENCE

PhD Research

• My current research is in stochastic modeling. Rather than using fixed variables such as in other mathematical modeling, a stochastic model incorporates random variations to predict future conditions and to understand what the results might be. Of course, the possibility of random variation implies many results or solutions. For this reason, stochastic models are not run just once, but hundreds or even thousands of times. This larger collection of data not only expresses which outcomes are most likely, but what ranges can be expected as well.

• Approximation of PDE’s using R package ReacTran/deSolve and MATLAB

• Developed R, C++ and MATLAB code to search for patterns in a given model. TEACHING EXPERIENCE

Graduate Teaching Assistant at Clarkson University September 2011-Present

• Supervised and instructed students through calculus, differential equations and Probability.

• Tutored students and grade them for classes on Basic Statistics and Statistics for Everyday Life.

• Maintain office hours for student counseling.

PUBLICATION

• E. Quansah, R. Parshad, K. Black, M. Beauregard, “Biological control via ‘ecological’ damping: An approach that attenuates non-target effect’’. Submitted to Mathematical Biosciences (2015).

• E. Quansah, R. Parshad, K. Black, R. Upadhyay, S. Tiwari and N. Kumari, “Long time dynamics of a three-species food chain model with Allee effect in the top predator’’. Submitted to Computers and Mathematics with Applications (2015).

• E. Quansah, R. Parshad, K. Black, “Impact of noise in the explosive behavior of a Top predator in a three species food chain model’’. (In preparation).

• E. Quansah, R. Parshad, Aladeen Basheer, and Schuman Bhowmick, “Prey cannibalism alters the spatial dynamics of Leslie-Gower type predator-prey models”. (In preparation).

• E. Quansah, R. Parshad, Suman Bhowmick, Rashmi Agrawal and Ranjit Kumar Upadhyay,

“Finite time Blow up in a population model with competitive interference and time delay”. Submitted to International Journal of Nonlinear Sciences and Numerical Simulation (2015).

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