Data Analytics, Statistics, SAS, R

KRITIKA NAGPAL

*** **** ** **, *******, GA *****

980-***-**** • ***************@*****.*** • https://www.linkedin.com/in/kritikanagpal PROFESSIONAL SUMMARY

Recent college graduate looking for an opportunity in Data Analytics where I can leverage my quantitative, analytical and technical skills in a dynamic and challenge stimulating environment. EDUCATION

M.S. in Mathematics with concentration in Applied Statistics May 2016 University of North Carolina at Charlotte, NC

Course Work: Linear Regression Analysis, Cross-Section and Time-Series Econometrics, Financial Econometrics, Financial Elements of Derivatives, Theory of Statistics, Linear Statistical Models, Machine Learning, Applied Biostatistics, Design of Experiments, and Multivariate Analysis Bachelor of Technology in Electronics & Communication May 2014 ITM University, Gurgaon, India

Course Work: Business Communication, Applied Mathematics, Database Management System, Artificial Neural Networks, and Fundamentals of Management

Summer School August 2012

Harvard University

Course Work: Into to Quantitative Methods, Intro to Scientific Computing SKILLS

Programming/ Statistical Tools - R, SAS, MATLAB, SQL, Python, STATA, MS Excel, SPSS

Expertise in Large-scale Data, Statistical Modeling, and Analytical Problem Solving.

Strong knowledge of Design of Experiments, Data Analyses and Interpretation, and Machine Learning.

Excellent communications and presentation skills. EXPERIENCE

University of North Carolina at Charlotte, Tutor August 2014 – December 2015

Provided one to one tutoring to undergraduate students in Linear Algebra, Calculus and Statistics. Mitsubishi Electric Automotive India Pvt. Ltd., Intern May-July 2013

Validated testing methodology and integration of hardware with software. ACADEMIC PROJECTS

Econometrics Course Project (SAS)

Performed multiple linear regression analysis to model consumption of wine in US against US Dollar exchange rate.

Drew key inferences and presented a term paper on it. Bayesian Adaptive Randomisation Design (R)

Reviewed a biostatistical paper proposing a Bayesian Adaptive randomisation design for biomarker trials with linked treatments for phase two Oncology trials.

Implemented the Bayesian logistic regression model and compared results against the reference. k-NN and Condensed k-NN algorithm (MATLAB)

Implemented k-NN and condensed k-NN classification algorithm on a letter image recognition dataset.

Trained and tested the algorithm for different values of k and sample sizes to check the accuracy of the algorithm.

Linear classification and Regression (MATLAB)

Implemented Linear Classification and Linear Regression algorithms using Perceptron Learning Algorithm

(PLA) and Pseudo inverse respectively.

Compared the number of iterations it takes for PLA to converge with and without using linear regression to provide initial weights.

Hedging Risk using Futures (MS Excel)

Investigated how to use short-dated rolling futures to hedge long-dated futures contracts.

Worked on achieving the perfect hedge and computing cash flows for different convenience yield scenarios.

VOLUNTEER LEADERSHIP AND INTERESTS

Completed Youth Leadership Training Program in Boone, NC.

President of Yesplus Club at UNC, Charlotte.

Volunteered for Clean Delhi campaign to spread awareness on environment and cleanliness.

Performed dance in front of an audience of 3.5 million at the World Culture Festival, New Delhi.

Attended Global Youth Leadership Forum, New Delhi, India amongst CEOs and state delegates.

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