About Me

Hi, I am Shubham Jain, a graduate student at Heinz College, Carnegie Mellon University, pursuing my Masters in Information Systems Management. Before coming to CMU, I was working as a software developer at Philips HealthCare Systems. I strive to develop things that can bring change to society by transforming data into decisions. My greatest ability is to stay true to my work. The fondness of analysis and prediction amplified my interest in the field of data science driving me to explore more in this domain and gain thorough in-depth knowledge of several tools, techniques, and technologies. Over the next few years, I wish to not only understand the technical aspects of data science but also to ensure the ethical style of storytelling with data.

Speaking of a few fun facts about me, I am really passionate about football and a huge fan of Cristiano Ronaldo.

Interested areas – Data Analysis, Data Visualization, Machine Learning, Natural Language Processing, and Software Application Development.

Personal Information

Full Name
Shubham Jain
D.o.b.
07 June 1996
address
Pittsburgh, USA
e-mail
shubhamj@andrew.cmu.edu
phone
+1 (412)-915-3982

Languages

English Fluent
Hindi Native

Professional Skills

C
C++
C#
Python

Professional Skills

Powershell
MySQL
Perl
Matplotlib
Seaborn
Oracle11g

Qualities

  • Customer oriented
  • Handling Multi Tasks
  • Creative Thinking
  • Self Motivated
  • Managerial Skills

Icon List

  • Cristiano Ronaldo
  • Gabriel Macht

work experience

July18 - June'20

Software Engineer

Philips Healthcare Systems

I worked as a software developer and have had the opportunity to render my services as a part of the CoreServices team and work on the development of applications to provide software installation framework for different hardware platforms, OS automation suite engine, backup and restore infrastructure using.net framework the windows, to name a few. 

Jan'18 - June'18

Software Engineer Intern

Philips Healthcare Systems

My role as an intern was to develop an automation suite that could completely deploy the customized operating systems and configure the MRI health systems with required application software. It was a huge cost saver to Philips as it brought down the time of deployment from 14 hours to 4 hours. For the stint of 6 months at Philips, I was also responsible to improve the code quality of the MR codebase without hampering the actual code flow that required extensive code analysis and rigorous testing to attain the best performance and efficiency.

 

Education

Projects

US Cross Border Numbers

View More

US Cross Border Numbers

Data Analytics /

Project
US Cross Border Analysis
Tech Stack
Python
Completed
Apr-2020
Github Link
https://github.com/shubham070696/US-Border-Crossing-Analysis

This data can also prove useful to predict the daily or weekly or monthly or annual traffic that’s going to accumulate on the borders so that the authorities can be aware of the number beforehand and take necessary actions if required.

Github Code

 

Customer Reorder Prediction

View More

Customer Reorder Prediction

Data Analytics /

Project
Instacart Customer Reorder Forecasting
Tech Stack
Python, Data Analysis, ML, SAS Enterprise Miner, Tableau
Completed
Oct - 2020

Performed analysis on approximately 8M rows of data, of an existing eCommerce grocery store Instacart and identified the most relevant features to predict the customers’ next order items.

Github Code

 

H1B Petition USA

View More

H1B Petition USA

Data Analytics /

Project
H1B-Petition-USA Analysis
Tech Stack
Python, Data Analysis
Delivered
June 2020

The dataset contains five year’s worth of H-1B petitions, with approximately 3 million records overall. Identified the factors that can help understand the reasons behind a visa application getting rejected or accepted.

Github Code

 

Flight Price Prediction

View More

Flight Price Prediction

Data Analytics /

Project
Flight Price Prediction
Tech Stack
Python, Data Analysis, ML, Flask
Delivered
June 2020

Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. This data can also prove useful to predict the fare of a flight given details such as source, destination, time of the journey, and various preferences of a passenger.

Github Code

 

Hiring Pattern Analysis

View More

Hiring Pattern Analysis

Data Analytics /

Project
Hiring Pattern Analysis
Tech Stack
Python, Data Analysis, ML
Delivered
May 2020

This data set consists of placement data of students on the campus. It includes various features such as secondary and higher secondary school percentages and specialization. Identified the characteristics that can help a student to get hired by a company.

Github Code

 

Interests

  • Football
  • Badminton
  • Suits
  • Parties
  • Swimming
  • Music

Contact Me

Feel free to contact me in case of any questions