Hello! I am Nikita currently pursuing Master’s in Information Systems. I am from Mumbai, India. My interests include dancing, calligraphy and graphology. I am working as a Teaching Assistant for Department of Operations, Business Analytics, and Information Systems (OBAIS) where I help students learn how IT brings efficiency in any organization.
* Master’s in Information Systems from University of Cincinnati
library(ggplot2)
masters <- c("Fall Semester","Spring Semester")
gpa <- c(3.9, 3.87)
dfm <- data.frame(masters, gpa)
dfm
## masters gpa
## 1 Fall Semester 3.90
## 2 Spring Semester 3.87
ggplot(dfm, aes(x = masters, y = gpa, group = 1)) + geom_bar(stat = "identity", width = 0.25, color = "black") + ggtitle("Master's Marksheet") + ylab("GPA") + xlab("Semester")
library(ggplot2)
academic_year <- c("Semester 1","Semester 2","Semester 3","Semester 4","Semester 5","Semester 6","Semester 7","Semester 8")
cgpa <- c(7.0, 8.06, 7.46, 7.86, 8.33, 8.88, 8.40, 9.22)
df <- data.frame(academic_year, cgpa)
df
## academic_year cgpa
## 1 Semester 1 7.00
## 2 Semester 2 8.06
## 3 Semester 3 7.46
## 4 Semester 4 7.86
## 5 Semester 5 8.33
## 6 Semester 6 8.88
## 7 Semester 7 8.40
## 8 Semester 8 9.22
ggplot(df, aes(x = academic_year, y = cgpa, group = 1)) + geom_bar(stat = "identity", color = "black") + ggtitle("Bachelor's Marksheet") + ylab("CGPA") + xlab("Semester")
I worked as an Application Development Analyst with Accenture. I was responsible for development of daily transaction and quarterly assessments report for MIFID. I worked on automation of a Custom Regulatory Exception Framework; this automation saved 5000 Man hours (~ 350K$ per year). I was a recipient of project level Rising Star award and recipient of Client and Customer Award in the Team category for outstanding contribution to client’s business outcomes.
I have used R mainly for my coursework and academic projects. I am interested in Machine Learning and Deep Learning and I plan to learn these using R.
* Python
* SAS
* Excel
* SQL
* Tableau