Robert Rhinebeck
Middletown, New York 10940 · 845.648.8310 · rrhineb119@gmail.com
www.robertrhinebeck.com
Entry Level Actuarial/Data Student
Analytically minded, enthusiastic self-starter with
outstanding motivational skills and a proven ability to prioritize and meet
deadlines. Impeccable attention to detail and skilled at recognizing patterns
and trends. Versatile and driven with ability to transition between working
individually and as a team player.
Areas of Expertise
|
·
Statistics |
·
Data
Analysis |
·
Instruction
Aptitude |
|
·
Mathematics |
·
Probability
Theory |
·
Long
Term Memory |
|
·
Quantitative
Research |
·
Making
Connections |
·
Patiently
Persistent |
Education/LEARNING
Bachelor of Arts in Actuarial Science | Binghamton University, New York (2014)
Successful Exam P (9/09/21)
Exam FM sitting
Coursework: Object Oriented Programming with Java, Introduction to
Programming with Python,
avid Coaching Actuaries
user, and avidly utilize ActuaryExamTutor, Infinite Actuaries, & currently preparing for Exam FM and also an avid
Datacamp.com user of programming languages R, Python, and SQL.
Completed Data Scientist
with R career Track on DataCamp.com (2019)
And also completed the R skill tracks of R Programming, Importing and
Cleaning Data, Data Manipulation, Intro to Statistics, Data Visualization, Time
Series, Applied Finance, Finance Basics, Machine Learning Fundamentals, Text
Mining, Spatial Data, Shiny Fundamentals, Big Data, Tidyverse Fundamentals,
Analyzing Networks, Supervised Machine Learning, Interactive Data
Visualization, Unsupervised Machine Learning, Marketing Analytics, Statistical
Inference, Probability and Distributions, Intermediate Tidyverse Toolbox and
Analyzing Next -Generation Sequencing Data on datacamp.com.
And also completed the
SQL skill tracks of SQL Fundamentals,
SQL Server Fundamentals, and SQL Server Toolbox, SQL For Business Analysts, SQL
Server For Database Administrators, SQL For Database Administrator on
datacamp.com..
And also completed the Data
Skills For Business skill track on datacamp.com.
And also completed Introduction
to Shell for Data Science on
datacamp.com
Completed Data Scientist with
Python career Track on DataCamp.com(2020)
And also completed the
Python skill tracks of Python
Fundamentals ,Importing and Cleaning Data ,Data Manipulation, and Machine
Learning Fundamentals on datacamp.com.
Please see Linkedin profile
for statements of accomplishments for Datacamp.com:
https://www.linkedin.com/in/robert-rhinebeck-b907b857/
Math Interventions
Developmental Math Teaching Assistant\Assistant Professor SUNY Orange (2019
Summer II Semester)
TECHNICAL
SKILLS
|
Programming
Languages/Software: |
Microsoft Excel
& Access, Java, Python, HTML, JavaScript, C, C++,R, SQL, shell(command
prompt) |
EXPERIENCE
HIGHLIGHTS
suny orange
community college, Middletown, NY, 2017-Present
Tutor – Introduction to Statistics/Math
Deliver
comprehensive and specialized learning intervention of statistics while
simultaneously coaching students to think critically and independently to solve
problems: random variable definitions, basic probability conditions, functions
& distributions, discrepancies between Discrete and Continuous
distributions, discrete expectations & the variance, standard deviation,
discrete percentiles, graphs and diagrams based on sample set data,
outliers, whether or not sample set reflects Normal distribution bell curve,
skewness, symmetric & confidence intervals, and hypothesis testing &
assessing parameters. Recommend learning and study methods based on an
individual’s strengths and aptitudes. Set objectives based on course guidelines
and professor requirements. Review assignments and offer constructive feedback.
Selected Contributions:
·
Introduced multiple components and various methods of statistical
hypothesis testing teaching students to create possible strategic outcomes and
determine which is best supported by the sample data.
·
Simplify
complex concept of binomial distribution helping students reach a new level of
understanding components involved in determining independence from probability
mass function.
·
Illustrated
how to standardize random variables in ascertaining the Z score and Z tables
using the Normal distribution.
HAN HO KOREAN TIGER
TAE KWON DO SCHOOL, Minisink,
NY, 2002-Present
Junior
Instructor
Earned first degree black belt
in self-defense Tae Kwon Do developing patience and
discipline by studying and teaching the five tenets: courtesy, integrity,
perseverance, self-control, & indomitable spirit. Led
and instructed fellow students on technique precision and execution.
Selected Contribution:
·
Earned first degree black belt (March 2006) after
years of rigorous study.
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