Data Assistant

Chhavi Tyagi

*****@****.*** 551-***-**** LinkedIn: chhavi-tyagi-4422634a

* ******* ***, ***.-*, Jersey City, NJ

EDUCATION

New Jersey Institute of Technology Newark, NJ

PhD. Applied Probability and Statistics; GPA: 3.7/4.0 Expected May 2023 Relevant Coursework: Regression Analysis Methods, Design and Analysis of Experiments, Statistical Inference, Generalized Linear Models, Advanced Statistical Learning

New Jersey Institute of Technology Newark, NJ

Master of Science in Data Science; GPA: 3.93/4.0 May 2019 Relevant Coursework: Machine learning, Introduction to Statistical Computing with SAS and R, Data analytics with R, Probability distributions, Applied Statistics, Statistical methods in Data Science, Database Management Systems Design and Project Management. Hindu College, University of Delhi New Delhi, India Master of Science in Physics; GPA: 3.3/4.0 July 2011 - June 2013 Bachelor of Science in Physics; GPA: 3.89/4.0 July 2008 - June 2011 SKILLS

● Languages: R(Tidyverse: ggplot2,dplyr), SAS, Minitab, Python, LaTeX, C, C++, SQL, Pascal

● Technical Expertise: Statistical Analysis, Data Visualization, Tableau, Jupyter Notebook, Minitab, R Studio, MySQL, PyCharm

● Strong proficiency in Microsoft Word, Excel and PowerPoint EXPERIENCE

Graduate Research Assistant, NJIT Sep 2019-Present

● Current Research based on binary classification using hypothesis testing by employing Neyman Pearson(NP) Paradigm and evaluating through NP- ROC.

● Worked on the Malware dataset obtained from New Jersey Security department using a clustering algorithm of K means to analyse useful information and predictions of malware threats around the world.

● Teaching Bayesian methods, probability and statistics to undergraduate students.

● Teaching R, SAS, MATLAB to the graduate students.

● Improved student participation in the classroom through integration of creative role-playing exercises and peer review sessions.

● Collaborated with a team of faculty at weekly meeting and actively contributed new ideas on teaching. Data Scientist, Ministry of Finance, Govt. of India, Chandigarh, India June 2017-Aug 2018

● Cleansing and exploration of the data of Income Tax Department.

● Processing and investigating the data to predict tax evaders using data mining and statistical modelling by using various designs and simulations.

● Converted data into actionable insights by predicting and modelling future outcomes with improvement from previous results. ACADEMIC PROJECTS

● Current Project on Neyman-Pearson Classification algorithms and NP receiver operating characteristics for binary classification using Statistical Inference.

● Health Care

● Building both linear and logistic regression model on BRFSS (Behavioral Risk Factor Surveillance System) data using SAS.

● Heart Disease Prediction

● Using generalized linear models, build a logistic regression model to predict heart disease after statistical analysis of high dimensional data with an accuracy of 89%

● Dimensionality Reduction of data using Principal Component Analysis (PCA)

● Build a model to improve the speed of machine learning algorithms using Python and sklearn libraries.

● Performed feature selection using chi square to reduce the dimension of SNP data and classify it using support vector machines.

● Titanic: Classification and Regression:

● Build a classification model to predict - survival or deceased with an accuracy of 84%. AWARDS

● Successfully completed Doctoral Qualifying Examination.

● Graduate Student Scholarship Award at NJIT (2019-present) (Stipend: $24,000/ year).

● Graduate Student Summer Research Award at NJIT (2019-present) ($6,400/3 months).

● Outstanding Student Scholarship award at Delhi University 2008-2013 ($1000/year).

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