Data Analyst

Siddharth Sharma

***** ******* ****, **********, ** 21651

US Permanent Resident

Phone: 443-***-**** Email: ****************@*****.***

OBJECTIVE

To become a process-oriented data analyst so that I can leverage my analytical, technical, and problem-solving skills to interpret and analyze data to drive growth in design, development, and business areas. Furnish insights, analytics, and business intelligence to improve decision making.

EDUCATION

University of Maryland, College Park, Maryland

Bachelor of Science, Economics Minor in Statistics Minor in Technology Entrepreneurship, September 2014 - August 2018

Chesapeake College, Wye Mills, Maryland

Liberal Arts AA Degree, August 2012 - July 2014

SKILLS

Programming Languages: Python, Java, Matlab, STATA, R, and SAS Other Tools: Microsoft Word and Excel

ACADEMIC COURSEWORK AND PROJECTS

CMSC 132: Object Oriented Programming 2: Data Structures. Programming in Java

Projects - Implementing and operating on various data structures - Linked Lists, Trees, Graphs

ECON 423-Econometrics II: Interaction between economic problems, specification and estimation of econometric models. Includes issues of autocorrelation, heteroscedasticity, functional form, simultaneous equation models, qualitative choice models, and other computational methods.

Projects: Estimate a fixed effects model using panel data and to contrast the results with OLS to pool the data and estimating a random effects model, estimate econometric models using instrumental variables/two-stage least squares and estimating and interpreting logit and probit models.

MATH 206-Intro to Matlab: Covers basics of MATLAB including simple commands, variables, solving equations, graphing differentiation and integration, matrices and vectors, functions, M-files and fundamentals of programming in the MATLAB environment.

STAT 401- Applied Probability and Statistics II: Point estimation - unbiased and consistent estimators. Interval estimation. Minimum variance and maximum likelihood estimators. Testing of hypotheses. Regression, correlation and analysis of variance. Sampling distributions. Elements of non-parametric methods.

STAT 430- Numerical and graphical data summaries; merging, sorting and splitting data sets. Least squares, regression, graphics and informal diagnostics, interpreting results.

Projects: Finding and describing the relationship between two variables, found correlation using correlation coefficient, ANOVA test, and residual analysis for the accuracy of regression model, identified assumptions for the regression model, making sure they are met and found ways to improve the model.

ECON414- Game Theory: Studies the competitive and cooperative behavior that results when several parties find that their individual outcomes are jointly determined. Students will learn how to use game theory to analyze situations of potential conflict.

EXPERIENCE

Bennett Point Store, Queenstown, Maryland

Tailgate Market, Millington, Maryland

Manager, August 2012 – Present (Occasionally)

Chesapeake College, Wye Mills, MD

Mathematics and Tech Tutor, February 2014 - May 2014

VOLUNTEER INVOLVEMENT

Donator and Volunteer: Indian Red Cross Society and Habitat for Humanity Choptank, Easton, Maryland

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