VIGNESH JAYARAMAN MURALIDHARAN

Email: adhv9j@r.postjobfree.com Phone: +1-208-***-****

CORE QUALIFICATIONS https://www.linkedin.com/in/vigneshjmuralidharan/

• 3.5+ years’ experience in statistics and data analysis with 1.5+ years’ experience in healthcare industry.

• Academically qualified with double Master’s in Statistics and Biological Engineering.

• Strong expertise in R, Python, Stata, SPSS, Excel, SQL & SAS used for data cleaning, dimension reduction, analysis, visualization.

• Published, presented, and awarded in various international and university level conferences and seminars in technical background.

• Delivered analytic solutions for multiple collaborative research projects simultaneously based on department and timeline needs.

(Note: Individual details on core and relevant qualifications is provided below) RELEVANT EXPERIENCE

Research Coordinator & Division Biostatistician - HCA Healthcare, Idaho Falls, USA July 2019 – Present Research Duties

• Performed rigorous data mining of large electronic health records datasets with knowledge in medical terminologies, health care claims standards, ICD and CPT codes, HIPAA guidance, domain modeling, data transfer methods and statistical programming.

• Developed study designs, sample size and analytic solutions based on data sources, business partners needs and timelines.

• Prepared comprehensive study plan protocols of clinical projects for IRB (Institutional Review Board) with risk assessment reviews.

• Provided data or analytic findings and interpretation using statistical reports in a variety of formats (Posters and Journal Publications, Reports, PPT, Dashboards, Graphs, Tables and Figures).

• Contributed and presented to development of several workshops and seminar trainings on retrospective observational studies like: o Uses of different statistical tools - Stata, SPSS, R, Gpower o Selection of statistical methods for different studies o Importance of effect size and sample size calculations o Statistical issues in EHRs and ways to reduce biases o Interpretation of Statistical results

o Project development plans and best research practice

• Analyzed real world datasets like Surveys, Quality improvement, Drug or medical procedure improvement, Molecular Profiling, Meta- analysis results, Observational EHRs and used SWOT analysis for department project management and planning.

• Collaborated and assisted other hospital stakeholders with providing PDSA cycles, analyzing practice workflows, improvement at the systems and statistical justifications for actions/decisions/statements whenever required.

• Participated and presented in technical forums on statistical methodology and its applications pertinent to business needs. Environment: R, Python, Stata, SQL, SPSS, SAS, G*POWER, Meditech and Excel Administrative Duties

• Created and implemented research policy tools and process pertaining to the division research administration.

• Prepared monthly research scholarly activity reports for Accreditation Council for Graduate Medical Education.

• Worked on both research and admin duties remotely for other division-based facilities. Statistical Consultant Trainee - University of Idaho, USA Aug 2017 – May 2019

• Developed sample size calculations and designed experiment relevant to the research hypothesis

• Performed data cleaning process on data-intensive simulated research datasets using R & SAS

• Performed data presentation and visualization on research model and results to other consultants and clients within university Environment: R, Python, SAS, SPSS, Web Scrapping, Excel, Mathcad and Matlab Teaching Assistant - Department of Statistics, University of Idaho, USA Aug 2017 – May 2019

• Prepared, deigned, and delivered lecture materials with course objectives, graded assignments, and exams

• Tutored walk-in sessions to all senior and graduate level statistics courses during course lectures and at student assistance center. Environment: SAS, R, LaTex

Data Analyst Intern - Gyan Data Pvt, IIT Madras Research Park, India May 2018 – July 2018

• Responsible for data wrangling of logical organization for vehicle engine development collected dataset

• Performed MongoDB query for migrating and validating records with source for testing life cycle analysis Environment: Python (Pandas), R (tidyr, dlpr), OpenRefine, DbFit, MongoDB EDUCATION

Master of Science, Statistics, University of Idaho, USA GPA: 3.56/4 May 2019 Master of Engineering, Biological Engineering, University of Idaho, USA GPA: 3.33/4 Dec 2016 Bachelor of Technology, Industrial Biotechnology, Anna University, Guindy Campus, India GPA: 3.23/4 May 2012 SKILLS

PUBLICATION AND CONFERENCES

• Improving the Quality and Design of Retrospective Clinical Outcome Studies that Utilize Electronic Health Records, Oliwier Dziadkowiec, Jeffery Durbin, Vignesh J Muralidharan et al., HCA Healthcare Journal of Medicine; DOI: 10.36518/2689-0216.1094

• Jessica Stephens, Jayaraman Muralidharan V et al., Rocky Mountain Healthcare Symposium, 2020, Presentation, USA

• Berry E, Allen T, Jayaraman Muralidharan V et al., Mountain States Pharmacy Conference, 2020, Abstract Accepted, Utah, USA.

• Berry E, Allen T, Jayaraman Muralidharan V et al., Idaho Society of Health System Pharmacist Conference, 2019, Poster, ID, USA.

• Jayaraman Muralidharan V et al., Research Innovation Symposium, Presentation, 2016, University of Idaho, Moscow, USA.

• Jayaraman Muralidharan V, Shrestha D et al., American Society of Agricultural and Biological Engineers, Presentation, 2014, USA. ACADEMIC PROJECTS https://github.com/vigneshjmurali (All projects listed) Handwritten Mathematical Recognition - Developed convolution Neural Network for modelling and evaluated handwritten mathematical expression in dataset and achieved 99.6% accuracy. Usage: Python (Scikit, Pandas, Scipy, Numpy, CNN, TensorFlow) Speed Dating Analysis – Analyzed and predicted partner preference with 95% accuracy in logistic Regression and Decision tree. Developed clusters and visualized interest preference. Usage: R (Imputation, PCA, Clustering), Python (LogReg, SVM, DT, Naïve Bayes) Internet Ads Detection – Developed classification models for detecting whether an image on a webpage is an add or not. Analyzed using ROC curve, accuracy rate and sensitivity rate. Usage: R (SVM, NN & Random forest, GGPlot, Zoo) Text Mining the Bible – Developed and compared cluster groups on the text of 1189 chapters and 66 books. Challenges in preprocessing succeeded through PCA and Vectorization. Comparison of cluster and classification. Usage: R (Textmine, GGPlot) Health Literacy Survey: Performed cluster-sampling methodology and surveyed 385 people across the university on literacy of antibiotics to yield 60% response rate. Data Analysis is yet to be carried out. AWARDS

• Best student employee of the year, University of Idaho, USA, (2018)

• Innovation showcase – Presentation 2nd place, University of Idaho, USA, (2015 and 2016)

• Travel Award, IDEA Network of Biomedical Research, Idaho, (2014 and 2015)

• Best Poster and Presentation award – 2nd place, NSBE National Convention, USA (2014 and 2015)

• Fitzsimmons, D.W. & Martin James Grant Awards - University of Idaho, USA (2013 & 2014) LEADERSHIP AND COMMUNITY SERVICE

• Travel and Teaching Excellence Chair, Graduate Student Association, University of Idaho, (2014 – 2018)

• Student Ambassador, International programs, University of Idaho, (2013 – 2019)

• International Youth Ambassador, Fulbright U.S. Scholarship program, (2014 – 2019)

• Outreach Chair, National Society of Black Engineers, Idaho chapter, (2013 – 2016)

• Vice President, Indian Student Association, Idaho chapter, (2014 – 2015) Computer Skills:

R program, Stata, Python, SPSS, SAS (Had used mostly for - Data Cleaning, Analysis, Visualization & ML), SQLite Studio, LaTex, Git, MS-Excel, Word, MATLAB, UNIX & C++ Statistical Skills: Experimental Design, Model selection, Hypothesis Testing, Regression Analysis, Machine Learning, Sample Size Counts, Imputation, Dimension Reduction, Data Management & Analysis. Certifications: ● Python for Data Sciences and Visualizations (NIIT, India) ● Diploma in C, C++, UNIX, Internet tools (CSC, India)

● SQL and Relational Databases (Cognitive - Online) ● Strategic Planning Foundations, Project Management: Healthcare Projects, SQL and Relational Databases, SAS Essentials (LinkedIn modules - Online)

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