Career Profile

Detail-oriented Information System graduate student with a background in operations management, business and systems analysis, data analysis and full stack web development, seeking a position in IT to isolate problem domains and implement simple and repeatable solutions. I excel at Distributive Computing, Statistical and Predictive modelling of data. I also code and integrate Data solutions in web applications based on Angular, Python with Django, D3js, and R Shiny.


Factory Automation Engineer

January 2018 - Currently working
Globalfoundries, New York
  • List of responsibilities soon

Co-op Engineer

May 2017 - December 2017
Globalfoundries, New York
  • List of responsibilities soon

Data Analyst intern

May 2016 - December 2016
Geodis, Poughkeepsie, New York
  • Used IBM Cognos Business Intelligence to automate the supply chain processes and track carrier performance
  • Created Dashboards with Google APIs and IBM Cognos.
  • Used Google Youtube API to change the behavior of an application based on the embedded video player controls.
  • Analyzed the need for improvement, and automated Google Script as a part of lean process development for clients. Constantly logged and reduced script failures to keep the process running.
  • Developed full stack session based data-driven Training Matrix tool backed by PHP, jQuery and d3js to capture employee training performance with data visualization, pending approval notifications, and automatic monthly/ weekly reporting capabilities.
  • Developed full stack session based tool to get shipment request, used jQuery and PHP, extensively, to perform real-time calculations, and be used globally with different time-zones.
  • Developed full-stack reporting tool to show incoming requests with excellent data-handling capabilities such as differentiating between texts and deciding the result.
  • Created multiple Macros in Microsoft Excel to reduce time spent on manual data handling.
  • Tracked carrier performance based on insights to analyze the root-cause.
  • Changed EDI format to achieve maximum matching and reduce error log.
  • Cross trained the team on IBM Cognos, Google Docs, in-house developed tools and organized multiple team building activities.
  • Measured KPIs to monitor team performance while continuously providing adjustments to the workflow
  • Communicated updates, directives and reports to upper management

Technical Consultant

February 2016 - May 2016
Marist College, Poughkeepsie, New York
  • Performed Quality Assurance testing for Marist systems and Sakai community products for a streamlined functionality.
  • Provided support to Community testing during the test phase
  • Logged bugs in JIRA to provide support to the community testing during the test phase.
  • Acted as an assistant for regular training programs, including lab set up and working one-on-one or with groups of faculty at various skill levels
  • Assisted faculty with problems associated with use of lab applications (including iLearn and MS Office)

Graduate Teaching Assistant

September 2015 - May 2016
Marist College, Poughkeepsie, New York
  • Structured online content for Systems and Information Concepts in Organization in assignments, quizzes, and examinations, to assist the faculty in course management.

Operations Manager

August 2014 - February 2015
Mulkh Raj and Co., India
  • Developed and monitored cost effective strategies for design and production of metal brushes.
  • Contributed to organizational planning and strategy as a member of the marketing team
  • Managed and supervised a team of 25 workers.


January 2013 - July 2014
GTBIT, India
  • Taught Digital Circuits and Systems to undergraduate Electronics engineering students (capacity of 60 students).
  • Assisted in practical, MATLAB coding, and theory experiments in Communication Systems and Circuits, Telecommunication Networks, and Digital Circuits laboratory.


In the course of Advacned Ceritificate in Business Analysis I worked on the following projects:

ANN Data Model - Created Artificial Neural Network based, computational data model for the ethical dilemma of a self driving car
Predictive Data model - Created R Shiny based, predictive model for the real estate prices in NYC.

Skills & Proficiency

Statistics and Machine Learning

Data and Insight Analysis

Python & Django

R Programming

Javascript & jQuery

PHP & SQL Server

IBM SPSS Modeler and Cognos Business Intelligence

Google Script and API



Microsoft Office Suite and Sharepoint

Microsoft Excel and VBA

Microsoft Visio and UML

Ruby on Rails