Hello ! I am a data enthusiast who truly believes in the saying that “Desire is the starting point of all achievements, not a hope, not a wish, but a keen pulsating desire which transcends everything”.I have almost 2 years of work experience as a Software Developer at Ingram Micro SSC. Currently, I am pursuing Master’s in Information Systems from University of Cincinnati along with a Graduate Data Analytics certification thus augmenting my skills in descriptive and multivariance statistics, predictive and prescriptive analytics as well as in data visualization. Well, I am in pursuit of imbibing and exploiting data analytical skills in order to contribute to the corporate world as a professional data engineer/scientist.

Professional Experience
Ingram Micro India SSC Pvt Ltd, Mumbai, India- Software Developer (July 2017 - May 2019)
- Designed, implemented and maintained a full AWS driven ETL life cycle through Amazon S3,Redshift and EC2 which ensured daily status reports to the clients
- Conducted performance tuning of Redshift by decreasing storage utilization by 50% and developed a Python script to automate the very same process
- Created perspicacious and insightful dashboards in Data Visualization tools Tableau and QlikView by connecting to data sources such as Amazon’s Redshift ,Excel and CSV to identify trends within quality data and to find new resources of revenue within customer data
- Developed a utility in python to monitor the ETL process of the humongous data files from Amazon S3 into the appropriate tables in the data warehouse Redshift as well as to convert the structure of APIs from YAML to Excel format thus aiding the Business Analyst in comprehending the API’s easily
- Created an in-house single page application for a cloud-based platform ‘Shipwire’ wherein the UI was based on Vue.js framework and backend on PHP that bolstered the Engineering Support team during crucial sales
- Worked on a DSL that created rest test tools to test the entire Rest Test API suite thus providing domain level validations
Experience in R and other Analytics Software
Since one year, I have been programming majorly in R for all my statistical computing, predictive analytics as well as data mining (supervised and unsupervised) projects.Following are some of my favorite projects:
- Soccer Analytics
- Worked on the European Soccer Dataset from kaggle.
- Developed a predictive model which can predict the outcome of soccer matches from different leagues as well as it can predict the best bookkeeper that offers the best odds for that match
- Housing prices Indicator
- Created my own dataset by collecting housing price related data from Zillow and Trulia
- Created a linear regression model for predicting house prices using backward and forward stepwise variable selection method and checked for model adequacy and LINE assumptions using Q-Q plot and scatter plot with an adjusted R-square value of 60.36%
Besides R, I have used SQL,Python and the following softwares:
- SAS
- Tableau
- Qlikview
- Pentaho
Basic Code Chunk Example
newlist <- c(4,1,10,18, 7, -5, -8, 30, 2)
newlist
## [1] 4 1 10 18 7 -5 -8 30 2
sumnew <- sum(newlist)
sumnew
## [1] 59
meannew <- mean (newlist)
meannew
## [1] 6.555556
stdnew <- sd(newlist)
stdnew
## [1] 11.70589