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Computational Genomics, Biostatistics, Database Management, Cancer Biology, Information Visualization, Linear Algebra
Georgia Institute of Technology, Atlanta(GPA 3.64/4.00)
Master of Science (MS) Bioinformatics
VIT University, Vellore,India(2013-2017) (CGPA 8.29/10)
Bachelors of Technology(B.tech) in Biotechnology
Machine Learning: Supervised and Unsupervised learning, Predictive modeling, Natural Language Processing
Healthcare Informatics: Data analysis of longitudinal electronic health records(EHR/EMR)
Bioinformatics: Next-generation Sequencing Data Analysis, Cancer Biology
Biostatistics: Survival Analysis, Multiple Hypothesis Testing
DATA VISUALIZATION: D3, Tableau,Qlik
INDUSTRIAL AND RESEARCH EXPERIENCE
Cedars Sinai Medical Center Los Angeles, California
Biostatistics Research Intern May 2018-August 2018
Performed large scale database linkage studies on the Breath Test Data.
Performed multiple hypothesis testing to find relationships between Irritable Bowel Disease and Breath Test groups.
Achieved an accuracy of 69% in prediction of Crohn’s Disease and Ulcerative Colitis from electronic health records using machine learning models namely Logistic Regression, Support Vector Machines and Random Forest.
Prepared statistical reports and visualizations on the same, targeting the important factors for predicting each disease.
Georgia Institute of Technology Atlanta,Georgia
Graduate Research Assistant January 2018-May2018
Developed a machine learning model to predict underlying causes of death of patients using using ICD-10 codes.
Achieved an accuracy of 62% for predicting 22 classes of health outcomes using multi-classification algorithms like Softmax Classifier, Random Forest classifier and Support Vector Machines.
Currently working on better representation of the codes and improvement of accuracy using natural language processing and word embeddings.
All India Institute of Medical Sciences (AIIMS),New Delhi,India January 2017-May 2017
Devised severity scores for Multiple Organ Dysfunction and Sepsis using the MIMIC Critical Care Database and did an exploratory study for trends in the data.
Applied these scores(SIRS and SOFAs scores) on the real time data at AIIMS from the pediatric ICU and assisted in calculation of scores minute by minute.
Medanta-The Medicity Hospital, Gurgaon, India June 2016-July 2016
Worked on devising a method for integration of Ayurvedic medication along with normal cancer medication to improve efficacy and reduce side effects using statistical methods of analysis.
Formulated a questionnaire for data collection and captured them in the e-Hospital Information System.
Used the e-Hospital Information System for patient information data storage for statistical analysis this automating the process of patient data storage and helping in saving manpower.
Public Health Foundation of India,New Delhi,India December 2015-January 2016
Worked in the Adverse Events Following Immunization (AEFI) Department with Immunization Technical Support Unit(ITSU).
Reviewed cases from 2012-2014 of adverse events post immunization that resulted in death in infants and found 7 discrepancies, using basic data analysis tools.