Richa Bharadwaj
Richa Bharadwaj
Data Analyst at New Jersey Institute of Technology
Welcome, thanks for visiting!

I am currently pursuing my Masters in Business & Information Systems. I have 2 years and 10 months of experience in Cognizant Technology Solutions, India. I have worked as a back-end developer for healthcare as well as banking domain. I am currently working as a  Data Analyst in NJIT and also as a Student Analyst in GWICS(Graduate Women in Computer Science) in NJIT.


January 2018 - Current
Data Analyst
New Jersey Institute of Technology
  •  Automated weekly reporting process of Student Placement Data using SQL and TABLEAU.
  •  Developed scripts for data denormalization and standardization.
  •  Developed TABLEAU workbooks from ultiplr data sources using Data Blending.
  •  Use MS Access and Excel to clean datasets and used features like VLOOKUP and add-ins’ like
     ABLEBITS to merge datasets collected from different sources.
  •  Carried out Web Content updates on requests using DRUPAL Web Content Management 
  • •Successful implementation of Handshake by importing all the data from Symplicity.
  • Collected data, drew insight from analysis, and then zoomed out to develop compelling, synthesized recommendations for new course introduction to university; Helped the university to design course structure
  • Extracted and Organized unstructured data of thousands of students to identify possible candidates.
  • Maintained data pipelines and made changes to system tools and process flows
  • Worked on Statistical presentation and various bar diagrams. 
December 2017 - Current
Student Assistant
OUTREACH: Graduate Women in Computer Science
  • Assisted High School Students on the latest technology in Computer Science.
  • Conducted presentation on technology for high school students.
  • Conducted basic learnings in PYTHON.

February 2015 - August 2017
Programmer Analyst
Cognizant Technology Solutions

Project: Open Enrollment for HealthNet

  • Worked for Claims team.
  • Worked for developing the program for new member enrollment into a particular category of health plans and was successfully implemented into production.
  • Wrote codes for validating the different providers for which the different members belong.
  • Dealt with huge data for new enrollment and plans changed during Open Enrollment.
  • Technologies: COBOL, IBM DB2 and Oracle.

Project: ABS CLAIMS for HealthNet

  • Worked with different claims for HMOs and PPOs. The codes were written according to the members enrolled for the providers.
  • Developed the codes for PPOs claims in SIT region and tested for both SIT and UAT region to move it to the Production.
  • Technologies: Oracle, IBM DB2.

Project: Tracs Team in Barclays

  • Worked for the successful implementation for the acquiring bank which was the merchant bank. 
  • Developed and tested tools for the testers for proper transactional flow for the VISA card payment.
  • Helped the team in complete removing the MasterCard and successfully implementing the VISA card transactions.
  • Technologies: Oracle, Linux.
September 2014 - December 2014
Agrawal Automation

Project : Payroll for Indian railways.

  • Migrated all the mainframe database to Oracle/DB2. 
  • Worked on Oracle forms and tables for the Payroll System for the Indian Railway employees.
  • The Mainframe system was removed successfully and all the database was moved to Oracle/DB2.


August 2017 - December 2018
New Jersey Institute of Technology
Master of Science in Business and Information Systems
  • Pursuing my masters from  NJIT as well as Rutgers.
  • Learned Web designing using PHP(Laravel web framework).
  • Learning Data Analytics and Data Science and I am learning Machine Learning from Rutgers University.
  • E-board of GWiCS: Graduate Women in Computer Science.
  • E-board member of DeepCS.
  • Member of clubs Toastmaster and OnetoWorld.
January 2018 - May 2018
Rutgers University
Data Mining & Statistics

Phd cross-registered course for Data Mining.

August 2010 - August 2014
Shri Shankaracharya College of Engineering & Technology
Bachelors in Electrical & Electronics Engineering

Skills: MATLAB


June 2018
Data Science and Big Data Analytics: Making Data-Driven Decisions
  • Apply data science techniques to your organization’s data management challenges.
  • Identify and avoid common pitfalls in big data analytics.
  • Deploy machine learning algorithms to mine your data.
  • Interpret analytical models to make better business decisions.
  • Convert datasets to models through predictive analytics.
  • Understand the challenges associated with scaling big data algorithms.
  • The importance of choosing how to represent your data when making predictions.
November 2017
Bloomberg Market Concept
August 2014
Oracle 11g
Oracle Workforce Development Program
January 2015


Send Me An Email

Your message was sent successfully!

Something went wrong, try refreshing and submitting the form again.