1. SRIRAM VENKATACHALAM
607, Summit Avenue, #396 Email: sriram.venkatachalam@mavs.uta.edu
Arlington, TX 76013 www.linkedin.com/in/venkatachalamsriram
Mobile: 4694109922 GitHub: https://github.com/SriramVenkatachalam
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Education
M.S. in Bioengineering GPA: 3.33 Expected Graduation: May 2015
University of Texas at Arlington, USA.
B.Tech in Electronics and Instrumentation Engineering GPA: 7.0/10 May 2013
Amrita School of Engineering, Coimbatore, India.
Skills
SAS 9.4, R, Mat lab, SQL,
Excel, LaTeX, C, Microsoft
Office Suite & GitHub
Perform statistical analysis by
setting appropriate hypothesis
using SAS & R
Make appropriate
experimental study protocols
Conduct reliability evaluation Fit best possible predictive
models
Regression analysis
Make properly organized
research reports using SAS &
R Markdown
Make meaningful descriptive
& inferential statistics to make
essential inferences
Clinical Trials data structures
like CIDSC ADaM and
CDISC SDTM
Certification
SAS Certified Advanced Programmer for SAS 9 Certificate No: AP013718v9
Experience
University ofTexas at Arlington Student Researcher July 2014 - Present
M.S. Thesis Research: RC21X web-based brain performance capacity measurement system: Preliminary reliability and
General Systems Performance Theory hierarchical relationship evaluations.
Conducted reliability tests by determining Cronbach’s alpha, interclass correlation and Pearson’s correlation coefficients. And
applied Non-linear Causal Resource Analysis to evaluate RC21X performance measurements’ consistency with General
Systems Performance Theory’s hierarchical relationship and also to detect brain performance limiting resources.
Academic Project
Regression analysis to study the effect ofage on blood fat content Spring 2015
Fitted a best predictive model to estimate the effect of age on blood fat content using SAS. Calculated a 95% Confidence and
prediction intervals for regression parameters. Computed a 95% Working-Hotelling confidence bands. Constant residual
variance assumption and normality property of the model were evaluated using Levene’s test and NPP plot.
Exploration of SCENIC Project – Phase 1 Spring 2015
Performed analysis of the SENIC data (Study on the Efficacy of Nosocomial Infection control) using SAS and wrote a
detailed report on the linearity and bivariate relationship between the Infection Spread Rate and other predictors.
Statistical analysis on data pertaining to patients with malignant lung tumor Fall 2014
Performed Chi-square, Kruskal-Wallis, Log rank, Cox proportional hazard, one way ANOVA and ANCOVA tests on the data
using SAS. All the analyses on the variables were performed at 95% confidence level by adjusting for the censors.
Heart Rate calculator Fall 2013
Developed an application that uses correlation technique to calculate the heart rate from the ECG signal using Mat lab. A
correlation factor of 80% was used. The correlation was performed using triangular wave as the template.
Are the BPM and respiratory rate for athletes significantly different from that of sedentary subjects? Fall 2013
Analyzed the difference in exercise physiology observed in an experiment conducted on athletes and sedentary subjects using
Excel. The study showed that the heart rate and respiratory rate of athletes returned to baseline much faster than the sedentary.
Other Projects (As part of online courses taken under Data Science track in Coursera, an online self-learning website)
Performed Exploratory Data Analysis on air pollution data using R. The plots were constructed using ggplot2.
Wrote a detailed report on the U.S. NOAA storm database using Knitr package (R Markdown) in R Studio.
Performed analyses on healthcare data using R. Ranked the hospitals based on mortality and re-admission rates.
