Hello. I’m

EREZ SAROUSI

Data Scientist

Backend Programmer

Statistician

Personal Information

About Me

About Me

I have over two years of experience fixing problems with the power of programming. I am a recent graduate, having completed my MS in data science, and I am seeking to utilize my accumulating analytical and transformative skills. I feel that with my strong background in statistics as well as my skills with coding and query languages, I can be a great asset to your organization. I am a self-starter and have experience working within a team to meet goals and find solutions.

My Work Experience

Resume

Resume

Education:

Bellevue University

2020 to 2022

MS | Data Science

Relevant Courses: Statistics for Data Science, Exploratory Data Analysis, Data Preparation, Data Mining, Predictive Analytics, Data Visualization and Presentation, Big Data, Applied Data Science.

Worcester State University

2010 to 2019

BS | Criminal Justice

Massachusetts Bay Community College

2007 to 2010

AS | Criminal Justice

Professional Experience :

National Grid

2018 to Present

Process & Performance Improvement Analyst

Securitas

2014 to 2018

Security Officer

I am good at

My Skills

My Skills

My Professional Strengths

“Research is creating new knowledge.” – Neil Armstrong

Curiosity drives my learning and I am consistently yearning to see information that my work discovers. In doing so, I not only unearth valuable data, but gain a deeper understanding into the programming language and statistical theories that snowball into making future projects that much more insightful.

  • Python
    55%
  • R
    30%
  • SPSS
    40%
  • SQL
    15%

Newbie

Decent

Pretty Good

Master

Knowledge

This is just the beginning of what I can do. Among my competencies in Python and R, I also am familiar and comfortable with a variety of IDEs such as Jupyter Notebook, RStudio, Google Collaborator and PyCharm.

  • Python
  • R
  • SQL
  • HTML
  • Microsoft Power BI
  • Microsoft Office
  • SPSS
  • Adobe Creative Suite
  • Supervised / Unsupervised Learning
  • Data Wrangling
  • Data Modeling
  • Predictive Analytics