Introduction

Hi! My name is Parul Ranjan. I am a detailed-oriented, responsible, and committed person with a get-it-done, on-time attitude and love for Data management. I believe there is always something to learn and my high energy and passion for fun come with me in my day-to-day life. I take pride in doing a little bit of everything. Having started coding at an early age and and playing around with data sets, I can say my interest in this field has only grown with time. I was born and raised in India. I have extensive experience and exposure in Software Development, Data management, and Data Analysis

As businesses today are becoming more inextricably linked with information technology, I strive to utilize my expertise to bridge the gap between technology and business and to do so I am currently pursuing Master of Science in Information Systems and also enrolled in the Data Analytics Graduate Certificate program to become an expert in data management. I believe obtaining this will help me to enhance my data analytics skills.

Academic Background

  1. University of Cincinnati ~ Cincinnati,OH,USA
    • MS in Information Systems | Data Analytics Certification
  2. Acharya Institute of Technology ~ Bangalore,KA,IN
    • Bachelor of Engineering in Computer science

Professional Background

I have started my career in the IT industry in the year 2018 as a Programmer Analyst in Cognizant. Having worked there for more than 2 years I gained significant knowledge on JAVA, HTML, CSS, Python, SQL and various other coding specific languages. It helped me to grow as a Developer. In April’20, I joined Accenture as an Application Development Analyst to push my boundaries as a Developer and gain experience in more extensive projects. Before coming to the USA to pursue my Master, I worked for 10 months in Infosys as Associate Consultant and gained knowledge in the Data Management field which inspired me to do Data Analytics Certification. Working in the technology sector of various MNCs like Cognizant, Accenture, and Infosys has helped me gain relevant experience in the industry.

Experience with R

I started learning about R and using it for the past 6 months through my academic courses like Statistical Computing and Data Analysis Methods. I have made two academic projects in R which helped to gain in-depth knowledge about the language.

Experience with other analytic software

Previous to R, I have used the following

Extra knowledge I would like to share

\[ E = mc^2 \]

It is perhaps the most famous equation in the world, and also one of the most elegant. Einstein’s legendary equivalence between mass and energy, is familiar even to schoolchildren.

At times, it simply stands as a placeholder for science — like in cartoons where writing this equation on a chalkboard signifies there’s some serious physics going on. But the relationship Einstein’s equation alludes to underlies fundamental properties of the universe itself. Mass is energy, energy is mass; the equation builds a bridge between two seemingly disparate domains.

Let’s execute some code

Let’s practice some basic arithmetic operations in R.

# multiplication
x <- 3 * 4
x
## [1] 12
# division 
y <- 4 / 2
y
## [1] 2
# addition
a <- 3 + 4
a
## [1] 7
# subtraction 
b <- 4 - 2
b
## [1] 2

The result to each operation is stored in the respective variables.

Now lets try basic Data Visualization in R using diamonds dataset available in ggplot2 library.

library(ggplot2)

p2 <- ggplot(data = diamonds) + 
      geom_bar(mapping = aes(x = cut, fill = color, y = ..prop..))
p2

This graph just shows the proportion of observations that fall within each level of the cut variable.