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Paramdeep Singh
Bloomington, IN - (812) 349-8940 - Parasing@umail.iu.edu
Dedicated and motivated graduate student seeking a computation intensive data analysis role to
leverage my professional experience in information technology and academic learning of quantitative
research/analysis methodologies.
PROFESSIONAL EXPERIENCE
Research Assistant Bloomington, IN
Indiana University School of Public & Environmental Affairs Current Job
 Automating data collection, processing and structuring procedures and contribute in
designing experimental studies.
 Conducting exploratory data analysis for coming up with hypothesis and building models
using statistical and econometric methodologies in Stata;
 Making Visualizations for reports and to address non-technical audience;
 Supervising and coordinating with undergraduate research assistants.
Graduate Teaching Assistant Bloomington, IN
Indiana University School of Public & Environmental Affairs Aug 2016-May 2017
 Delivered a range of teaching and assessment activities including conducting a lab
directed towards the delivery of two statistics courses at graduate level;
 Participated in the evaluation process and provide effective timely and appropriate
feedback to students to support their learning;
 Supervised practical work advising on skills methods and techniques to assist the
transfer of knowledge.
Research Assistant Bloomington, IN
Indiana University School of Public & Environmental Affairs May 2016-August 2016
 Evaluated Crash Reports available via resources like NMVCCS, CDS, Indiana Transport
Department for recommending better on-vehicle road safety equipment and
development of Road Departure Warning system;
 Textual and Graphical data mining from XML, HTML and PDF to collect data about road
edges and road departures using Python and its packages;
 Analyzed road coordinates to design a generic methodology for calculating the curvature
of roads around US to come up with distribution of same using SAS;
 Developed a GUI interface which facilitated the leveraging of human intelligence for
analysis of crash cases and storing the information in a database.
Programmer Bangalore, India
Infosys Ltd June 2011-May 2015
 Implemented intricate requirements from various users, created optimum design
solutions and developed/maintained user interface of the web application;
 Programmed applications using Core Java, JavaScript, jQuery, PL-SQL;

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 Performed optimization reviews for better performance in high data volume
environments;
 Project Management and training colleagues to support and maintain the application.
CRITICAL SKILLS
 Data modeling, multivariate statistical analysis and data management using Stata/R
.Linear and Non-Linear Regression Models, Experimental and Quasi-Experimental
methods (Propensity Score Matching, Regression Discontinuity, Fixed Effects, Instrument
Variables), Simulation Methods, ARIMA and ARIMAX models.
 Creating and using SAS MACROS. Writing and interpreting SAS SQL code.
 Designing data-mining and machine-learning algorithms like Decision trees, Random
Forests, K-Means Clustering, Nearest Neighbors and its application on data using Python
 Knowledge of vector based GIS techniques using ArcGIS.
 Software development and database management using Core Java, JavaScript, jQuery, PL-
SQL with planning, designing, implementation, testing and maintaining applications.
EDUCATION
Indiana University, School of Public & Environmental Affairs Bloomington, IN
Master of Public Affairs, Policy Analysis Expected Graduation: July 2017
Indiana University, Informatics and Computing Bloomington, IN
Graduate Certificate in Data Science Aug 2016- May 2017
Punjabi University Patiala, India
Bachelor of Technology September 2006-May 2010
KEY GRAD PROJECT WORK AND PUBLICATIONS
 Econometrics: Lead a team of 4, to build an Econometrics model testing Gauss Markov Linear
Assumptions to analyze the factors decoupling a country's GDP from carbon emissions.
 Machine Learning/Data Mining: Implemented different algorithms like K-Means and Random
Forests using Python, on a school-based survey dataset from The National Longitudinal Study
of Adolescent Health, to study the factors that may influence adolescents’ health and risk
behaviors in United States.
 Economic Analysis of Indiana Geological Survey (IGS): Survey designing using Qualtrics and
Economic Impact analysis of the services provided by IGS using quantitative methods like
Input –output model.(Took an IRB certification for this project).
 Cost Benefit Analysis: Performed cost benefit analysis of one of India’s flagship government
ventures – AADHAR (meaning support), which primarily aimed at uniquely identifying Indian
residents and improved execution of government’s social benefit schemes by linking them to
the unique IDs issued under this scheme.
 ArcGIS: Conductedspatial analysis to examine the potential effects ofgrocerystore proximity,
transportation access, and unemployment rates to determine whether or not food deserts
exist in the suburban area surrounding downtown Boston, Massachusetts.