Graduate Teaching Assistant Resume
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Orlando, FL
SUMMARY:
- Highly motivated and curious graduate student with three years of relevant professional experience. Proficient in computational statistics, data analytics and machine learning techniques. Strong communication skills with a confident and amiable personality.
- Experienced (3+ years): SAS, R, SQL, Microsoft Office
- Proficient (1 - 3 years): Python, VBA, Linux, Matlab, Applaud® (ETL software)
- Actuarial Exams (passed): Probability, Financial Mathematics, Models in Financial Economics
- Relevant Topics of Expertise: time series, experimental design, linear and logistic regression, dimension reduction, forecasting, data mining, predictive analytics, Machine Learning/ Statistical Algorithms: k-NN, support vector machines, linear and logistic regression, decision trees, discriminant analysis, neural networks, clustering, naïve Bayes
PROFESSIONAL EXPERIENCE:
Confidential, Orlando,FL
Graduate Teaching Assistant
Responsibilities:
- Instructed semester-long undergraduate classes of 50-70 students for an introductory statistics course
- Created lectures, quizzes and exams as well as provided weekly office hours for tutoring
Confidential, Raleigh, NC
Analytical Consulting Intern
Responsibilities:
- Utilized similarity techniques to create a data cleansing algorithm that fills in missing temperature time series data
- Researched statistical theory for electrical load forecasting methods and updated documentation for SAS software
Confidential, Chicago, IL
IT Consultant
Responsibilities:
- Produced data conversions to successfully migrate 18 different legacy systems for an Oracle R12 implementation
- Developed an automated reporting processes which identified duplicates, anomalies, missing and invalid data
- Delivered analytical solutions for data consolidation, profiling, analysis and cleansing using SQL and Applaud®
Confidential, Jacksonville,FL
Actuarial Analyst
Responsibilities:
- Designed and built actuarialtoolusing VBA and SAS to forecast a medical loss ratio rebate
- Collaborated with co-workers to identify and solve issues with claim and premium data using SQL
- Utilized statistical techniques and industry knowledge to set monthly financial reserves for claim liabilities