Data Life Insurance
Resume:
Ohio, Akron *****
Seth- agyemang
***********@*****.***
Employment
Data Analytics, Intern
3+ years Data Analytics Experience
(May 2017)
UT Life Insurance
Assisted with the development of procedures and tools to maintain data quality
Executed regular data audits and inventory analysis
Recommended sales pricing and recognized trends in consumer sales
Generated various reports of product ordering trends and inventory control
Completed analytics activity providing context and insight wherever possible
Lead Student Ambassador
University of Akron
(Feb 2018)
Promoted to Lead Student in statcrunch software in Fall 2016; supervised 10 – 15 Student.
Created and taught statistics course, STE 101: Statistics for everyday life and project work.
Head Teaching Assistant
University of Akron
(Sept 2016)
Courses: Advance probability, Hypothesis, Statistics and probability
Promoted to Head TA in Fall 2017; led weekly meetings and supervised four other TAs.
Relationship Officer, Intern
Merchant Bank
(May 2015)
Assessing loans (Summer 2015)
Developed standards for managed the data throughout its lifecycle
Led the technology investments to efficiently manage data and monitor its quality
Monitored the governance of the insurance lines of business (LOBs) data ownership and data definitions
Related business rules, along with the supporting processes
Accessed and communicated quality of data for the LOBs across all appropriate
Data sources
Education
Ohio, Akron.
University of Akron
(May 2018)
MSC in Statistics May 2018. GPA: 3.5
BSC. In Financial Mathematics with Minor in Statistics, May 2013. In-major GPA: 3.4
Graduate Coursework: Time Series Analysis; Actuarial Science; Regression Analysis; Design of Experiment; Multivariate Analysis.
Undergraduate Coursework: Statistical control; Databases; Algorithms; Programming Languages; Comp. Financial Mathematics; Hypothesis Testing and Inference; Calculus III.
Technical Experience
Projects
Time Series Modelling (2018) U.S and UK Foreign exchange with ARMA GARCH (1,1,1)
Logistics Regression (2016 – 2017). Predictive Modelling using the cell length and mutation
Proc-Sql (2017). UNIX-style OS with scheduler, file system, text editor and calculator.
Additional Experience and Awards
Instructor (2017 – 2018): Taught two full-credit Statistics courses; average ratings of 4.8 out of 5.0.
Third Prize, Using Minitab: Awarded 3rd prize using cell length mutation on project at Washington DC.
Languages and Technologies
Advanced knowledge of SAS, R, Minitab, SPSS. Data Mining, and Time series, Forecasting, Regression, Survival Analysis, Generalized Linear Model, Bayesian Methods and Actuarial Science
Cyber Security SQL, Minitab, SPSS, JMP, Maple, MS Office Excel, Access, word, power point.
Regression Analysis (linear, logistics, Nonparametric, generalized linear models, ANOVA.
SASS, R and logistics regression.
Contact this candidate