Academic

Research Assistant, University of Maryland, Baltimore County (January 2018 to Current)

Collected, analyzed, and interpreted multimodal data captured by sensors, intelligent systems, and user inputs.
Developed explainable machine learning models with wide-scale applications in both education and healthcare domains. Devised an explainable method using locally interpretable model explanations (LIME) to interpret both white and black box model predictions.
Developed predictive models to solve both classification and regression problems.
Authored 10 publications in the areas of artificial intelligence and data science in education, cognitive psychology, and health care.
Taught Database applications course to a class of 60 students. Trained students on Pl/SQL.
Classes taught totaled over 100 students and comprised a Decision Support Systems course and Health Care Informatics course. Conducted RapidMiner data science boot camp

Industry

Data Science Intern (Ph.D. level), Edison Software Inc (June to August 2020)

Perform statistical modeling on behavioral data captured by the Edison platform. This includes mathematical optimization, probability and sampling, and causal inference
Extract data from different sources and code models that process large data sets using python and spark.

Predictive Analytics - Data Science Intern, Highmark Health (May to June 2020, reduced due to pandemic)

Analyzed the technological changes in the organization during the pandemic.
Performed a case study to understand the challenges, benefits, and timing of changes

Software Engineer, Accenture Services Pvt Ltd (August 2014 to December 2015)

Responsible for gathering SAP OTC business requirements and communicate client business requirements by constructing easy to understand data and process models.
Developed and implemented 5+ levels of testing, unit testing, integration testing, system testing, user acceptance testing and Regression testing for entire SAP OTC process.
Identified and documented As-Is business processes in Aviation oil domain related to the SAP system.
Created a concordance for plant configuration in SAP SD. This was a first of its kind and used as a template for other configurations.

Technical Intern, Efftronics Systems Pvt Ltd (October 2013 to May 2014)

Development and monitoring of Air quality control system using multi-sensor fusion techniques.
Researched various methods to improve air quality in the workplace.

Programming: Python, Matlab, R-Programming, PySpark

Data science & Visualization Tools: RapidMiner, Weka, QlikView, Qlik Sense, Tableau

Database: MySQL, SQL server, Cassandra

Development Tools: Anaconda, PyCharm, Git

Operating System: Windows, Linux