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Prahlad M.

Pittsburgh, PA

$60/hour

Engineering Professor: Data science, Biostatistics, Programming

10+ Hours
4.8 average from 4 ratings

$60/Hour


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National Institute of Technology Karnataka, Surathkal India
Mechanical Engineeri
Carnegie Mellon University
Master's
Carnegie Mellon University
PhD

Education

National Institute of Technology Karnataka, Surathkal India (Mechanical Engineeri)

Carnegie Mellon University (Master's)

Carnegie Mellon University (PhD)

About Prahlad

I am an engineering professor with active faculty appointments with the biomedical engineering departments of Duquesne University, University of Pittsburgh and University of Texas at San Antonio. Prior to this, I was on the faculty at Carnegie Mellon University's Electrical & Computer Engineering department (2013-2015). I taught several courses encompassing topics in biomedical imaging, image processing, algorithmic signal analysis and data science (including machine learning). I have a doctorate in biomedical engineering (focus on computational modeling of biomechanics and flow, as well as image analysis and data science as it relates to biomedical images) and a masters in mechanical engineering, both from Carnegie Mellon University in Pittsburgh, PA.

As a mechanical & biomedical engineer by training, calculus, linear algebra, probability statistics and visualization of complex mathematical functions or geometries, comes naturally to me and is highly relevant to my everyday work in terms of both teaching as well as my research program. Therefore, I routinely offer graduate-level, undergraduate-level and high-school-level tutoring in mathematics, on subjects ranging from pre-calculus and coordinate geometry to linear algebra and probability theory. I also offer tutoring on mechanical engineering subjects like statics, thermodynamics, heat transfer and fluid mechanics.

Further, as a practicing biomedical engineer and data-scientist, I am routinely engaged in real-world efforts involving biostatistical modeling and design of clinically relevant statistical trials / experiments, to prove the merit of novel biomarkers of disease or study the statistical significance of the efficaciousness of pharmaceutical or patient-specific surgical therapies. Therefore, subjects including the selection and analysis of theoretical probability distributions, regression studies, machine learning and statistical programming (in Matlab or R code) are within my areas of expertise. I routinely offer tutoring in these subject areas.

My personal philosophy on teaching and learning is founded around my cumulative experiences as a student, instructor, mentor and researcher. Having been an active participant from both sides of the classroom, in university settings, I know that successful learning is synonymous with long term retention, which in-turn facilitates the ability to apply knowledge and think laterally when the opportune moment presents itself in the real-world. To truly learn is to discover knowledge through experience and lots of practice which invokes the confidence to overcome challenges while simultaneously lifting inhibitions in regard to tackling new problems. To facilitate such an experience within a classroom environment is especially possible in subjects like mathematics and the physical sciences, by facilitating a working knowledge of contemporary issues in the science through articulation of real-world examples and providing opportunity for hands-on problem solving through exercises. Scientists, leaders and instructors effectively teach when they simultaneously impart information and nurture an environment that offers students the opportunity to discover a new subject while maintaining a channel for continuous closed-loop feedback, to ensure that the pace of subject-matter delivery and the student-specific rate of retention are in step.

I look forward to hearing from you and helping you succeed in your academic endeavors!
I am an engineering professor with active faculty appointments with the biomedical engineering departments of Duquesne University, University of Pittsburgh and University of Texas at San Antonio. Prior to this, I was on the faculty at Carnegie Mellon University's Electrical & Computer Engineering department (2013-2015). I taught several courses Read more

Policies
Cancellation
12 hours notice required
Travel Radius
Travels within 20 miles of Pittsburgh, PA 15282
Math:
Calculus,
Geometry, Linear Algebra,
Probability, R,
Statistics
Science:
Biostatistics
Computer:
MATLAB,
R

Approved subjects are in bold.

Approved subjects

In most cases, tutors gain approval in a subject by passing a proficiency exam. For some subject areas, like music and art, tutors submit written requests to demonstrate their proficiency to potential students. If a tutor is interested but not yet approved in a subject, the subject will appear in non-bold font. Tutors need to be approved in a subject prior to beginning lessons.

Biostatistics

As a practicing biomedical engineer and data-scientist, I am routinely engaged in real-world efforts involving biostatistical modeling and design of clinically relevant statistical trials / experiments, to prove the merit of novel biomarkers of disease or study the statistical significance of the efficaciousness of pharmaceutical or patient-specific surgical therapies. Therefore, subjects including the selection and analysis of theoretical probability distributions, regression studies, machine learning and statistical programming (in Matlab or R code) are within my areas of expertise. I routinely offer tutoring in these subject areas.

Calculus

Calculus is an integral of my everyday research work on Biosignal and Biomedical image analysis. Further, it is an integral part of the coursework I currently teach to both undergrads and grad students in Pitt (and in prior years, at CMU as well). I also conduct pre-calculus as well as calculus tuitions for undergraduate students in colleges across the US through online tutoring platforms, on a routine basis.

Linear Algebra

As an engineer and practicing data scientist, calculus, linear algebra, probability statistics and visualization of complex mathematical functions or geometries, comes naturally to me and is highly relevant to my everyday work in terms of both teaching as well as my research program. I routinely offer graduate-level, undergraduate-level and high-school-level tutoring in mathematics, on subjects ranging from pre-calculus and coordinate geometry to linear algebra and probability theory.

Specifically in regard to Linear Algebra, the graduate coursework I offer annually on biosignals & systems as well as biomedical imaging at Duquesne University and University of Pittsburgh (and previously at Carnegie Mellon University) are founded on principles of linear systems modeling and solving Ax=b type linear matrix equation systems. I am, therefore, quite well versed with the subject of vector / matrix algebra, in general, and additionally I am well versed with solving matrix systems encountered through linear algebra using programmatic approaches in Matlab and R.

MATLAB

I have written over 100,000 lines of Matlab code between 2009 and 2016. I teach graduate and undergraduate coursework wherein assignments and quizzes have their practical underpinnings in programming using Matlab. I have taught a Matlab Programming course in Duquesne University in Spring 2016, offered to a class of freshmen undergraduate biomedical engineering students.

R

I have written over 10,000 lines of R code between 2009 and 2016. I teach graduate and undergraduate coursework which involves performing Regression Analysis and statistical testing (including using ANOVA, T-tests, F-tests etc.), in R. I write machine learning based predictive machine-learning models for the financial markets, using R. I have also written algorithmic trading robots built in R and integrated the core models within Shiny web-application interfaces, to facilitate data visualization and interactive model training / testing.

Statistics

I am well versed with basic to advanced statistical analysis owing to my professional experience (through my research program) for biostatistical analysis of clinical trials data as well as statistical analysis of biomedical datasets in general (including but not limited to time series signal data and medical images). I also teach statistics, as a tutor, to students in graduate and undergraduate programs around the country, on a daily basis through online tutoring platforms.
I have lots of experience with statistical programming in languages including Matlab and R (as well as SAS, Excel etc.), which can help with learning process as programming helps in illustrating concepts through practical examples.

National Institute of Technology Karnataka, Surathkal India
Mechanical Engineeri
Carnegie Mellon University
Master's
Carnegie Mellon University
PhD

Education

National Institute of Technology Karnataka, Surathkal India (Mechanical Engineeri)

Carnegie Mellon University (Master's)

Carnegie Mellon University (PhD)

Hourly rate

Standard Hourly Rate: $60.00

Cancellation: 12 hours notice required

Travel policy

Prahlad will travel within 20 miles of Pittsburgh, PA 15282.