OLIVIA DUROWAH
728 7TH
Avenue South. Apt 21 (740) 331- 9833
Brookings, SD 57006 livy23.od@gmail.com
Objective: Pursuing a career as an Analyst in a reputable firm.
Summary: Strong knowledge and great hands-on experience in designing and implementing statistical/
predictive models, data analysis and data mining; ability to identify useful information located within
large datasets of structured and unstructured data; capable of using data analysis and data modelling to
drive strategic decisions to increase profitability, identify and reduce risk.
Summary of Qualifications and achievements:
3+ years of experience in the field of analytics and business strategy
 Experienced in developing and validating statistical models for predictions to provide insights for
strategic decisions.
Projects: Developed predictive model to predict which customers are likely to default on their credit
card debt (multivariate logistic regression, survival analysis and cross validation analysis using SAS
and R), built predictive model to predict the direction of the stock market using data on daily
percentage returns for the S&P 500 stock index (logistic regression, cluster analysis and decision
trees), used feature selection to predict the response of customers to direct mail offers, used survival
and hazard analysis to predict time to failure of debt repayment.
 Knowledge in data preparation using SAS and SQL. Analyze the large datasets, identify trends,
summarize findings, study correlations and make recommendations for future direction.
 Strong expertise in the usage and application of advance statistical packages such as SAS, R, SQL,
Excel, WEKA, IBM Cognos, JMP, Hadoop, Spark.
 Hands – on experience in extracting data with SQL from data warehouse such as Teradata databases
using data mining tools as SAS, Teradata SQL and Business Objects.
 Experienced in modelling financial data.
 Knowledge in time series forecasting and econometrics.
 Team player and efficient in working independently. Fast learner and ability to meet deadlines
Work Experience:
August, 2016 till now: Graduate Teaching Assistant – Mathematics and Statistics Dept., South
Dakota State University
Teach and manage undergraduate students:
 Give students insights into the reasoning used to arrive at solutions.
 Offer homework help sessions for students.
 Ensure active participation of students in recitation and encourage team work among students.
 Proctoring and grading
January, 2015 to May 2016: Graduate Research Assistant – Economics Dept., South Dakota State
University
Econometrics-related research work (using R, JMP, Excel):
 Prepare, compile and sort documents for data entry.
 Streamlining data collection and storage to reduce non-sampling errors.
 Data visualization and multivariate regression analysis using excel and stata.
May, 2011 to August, 2011: Investment Analyst Intern – Ecobank Ghana Ltd
 Analyzing financial data to determine loan profitability and return on investment.
 Communicates observations and findings effectively in writing as well as with charts, graphs and
spreadsheets.
Education
May, 2016 to Present (Expected to complete by May 2017): Master of Science in Data Science – South
Dakota State University, Brookings.
January, 2015 to December 2016: Master of Science in Economics – South Dakota State University,
Brookings. Master’s Thesis: Panel data analysis of the effect of foreign aid on poverty reduction in 80
developing countries: using fixed effects regression and Generalized Least Squares regression. (SAS, &
R)
August, 2009 to June, 2013: B.A Economics - University of Cape Coast, Ghana.
Undergraduate Thesis: Effect of real interest rate on private investment in Ghana using Johansen co-
integration estimation technique.
Certification
June, 2016: SAS Programming 1: Essentials.

olivia-resume

  • 1.
    OLIVIA DUROWAH 728 7TH AvenueSouth. Apt 21 (740) 331- 9833 Brookings, SD 57006 livy23.od@gmail.com Objective: Pursuing a career as an Analyst in a reputable firm. Summary: Strong knowledge and great hands-on experience in designing and implementing statistical/ predictive models, data analysis and data mining; ability to identify useful information located within large datasets of structured and unstructured data; capable of using data analysis and data modelling to drive strategic decisions to increase profitability, identify and reduce risk. Summary of Qualifications and achievements: 3+ years of experience in the field of analytics and business strategy  Experienced in developing and validating statistical models for predictions to provide insights for strategic decisions. Projects: Developed predictive model to predict which customers are likely to default on their credit card debt (multivariate logistic regression, survival analysis and cross validation analysis using SAS and R), built predictive model to predict the direction of the stock market using data on daily percentage returns for the S&P 500 stock index (logistic regression, cluster analysis and decision trees), used feature selection to predict the response of customers to direct mail offers, used survival and hazard analysis to predict time to failure of debt repayment.  Knowledge in data preparation using SAS and SQL. Analyze the large datasets, identify trends, summarize findings, study correlations and make recommendations for future direction.  Strong expertise in the usage and application of advance statistical packages such as SAS, R, SQL, Excel, WEKA, IBM Cognos, JMP, Hadoop, Spark.  Hands – on experience in extracting data with SQL from data warehouse such as Teradata databases using data mining tools as SAS, Teradata SQL and Business Objects.  Experienced in modelling financial data.  Knowledge in time series forecasting and econometrics.  Team player and efficient in working independently. Fast learner and ability to meet deadlines Work Experience: August, 2016 till now: Graduate Teaching Assistant – Mathematics and Statistics Dept., South Dakota State University Teach and manage undergraduate students:  Give students insights into the reasoning used to arrive at solutions.  Offer homework help sessions for students.  Ensure active participation of students in recitation and encourage team work among students.  Proctoring and grading January, 2015 to May 2016: Graduate Research Assistant – Economics Dept., South Dakota State University Econometrics-related research work (using R, JMP, Excel):  Prepare, compile and sort documents for data entry.  Streamlining data collection and storage to reduce non-sampling errors.  Data visualization and multivariate regression analysis using excel and stata. May, 2011 to August, 2011: Investment Analyst Intern – Ecobank Ghana Ltd  Analyzing financial data to determine loan profitability and return on investment.  Communicates observations and findings effectively in writing as well as with charts, graphs and spreadsheets. Education May, 2016 to Present (Expected to complete by May 2017): Master of Science in Data Science – South Dakota State University, Brookings. January, 2015 to December 2016: Master of Science in Economics – South Dakota State University, Brookings. Master’s Thesis: Panel data analysis of the effect of foreign aid on poverty reduction in 80 developing countries: using fixed effects regression and Generalized Least Squares regression. (SAS, & R)
  • 2.
    August, 2009 toJune, 2013: B.A Economics - University of Cape Coast, Ghana. Undergraduate Thesis: Effect of real interest rate on private investment in Ghana using Johansen co- integration estimation technique. Certification June, 2016: SAS Programming 1: Essentials.