ardalan.online

Ardalan Mirshani

Data Scientist
R Shiny Developer

OPEN

RESUME

I am a 5th year PhD candidate  in the Department of Statistics at the Pennsylvania State University. Regularization methods specifically on High dimensional functional data sets are the heart of my research. Machine Learning, Big Data, Coding and Web-based apps are my interests.

EDUCATION

Statistics

PhD, Penn State University

Expected : Summer 2019
GPA : 3.92/4
I am working on several projects on Regularization methods under the advisorship of Dr. Matthew Reimherr. I am interested in conducting statistical inference on sample of functions. Please see my research projects at the Portfolio.

 

Mathematics

M.S, Sharif University of Tech

2011 – 2013
I mainly worked on Stochastic Analysis and my research topic was on Extending Supermartingales Hoeffding’s Inequality.

 

EE

B.S, KNTU

2006 – 2011
In department of Electrical Engineering and Communication, my research topic was on optimization in Information theory

 

Work Experience

Internship

Novartis, Cambridge, MA

Summer 2018
Implementing multiple modularized R Shiny apps for analyzing and visualizing clinical and biomarker big data (around 1.5 million observations) in NIBR oncology center and consulting to other projects. Reading big data from the server and modularizing the apps were the two important challenges.

 

Visualization

Raavi : Founder and Developer

2016 – now
Raavi is a Shiny web app (interactive website with back-end in R Statistical language) for visualization of high school and university grades data. It was a great experience for me on both UI/UX and Server part. Working with my own Shiny Server and linux system, modularizing shiny app, combining Shiny UI with WordPress styles, improving performance with Profvis package and combining many great visualization packages in R like ggplot, plotly, shinywidgets, rhandsontable, JS packages and many more empowered me to learn and deal with many challenges in writing a complicated shiny app.

 

Consulting

Statistical Consulting I

Spring 2016
Applications of statistical methods in the consulting environment with emphasis on written and oral communication skills.

 

Statistical Consulting II

Fall 2016
Practical consulting and communication skills with focus on participating in the online discussion.

 

SKILLS

R, Shiny, Rmarkdown, R Package, Rcpp, sparklyr, Keras, Tensorflow, Tidyverse, Leaflet, trelliscopejs, Profvis, xts, naniar

Python , Minitab , Tableau , Excel , SAS

SQL , postgreSQL, Spark

Git , Github , Linux Server , Shiny Server

HTML , CSS , JS , WordPress

Latex , Overleaf , Onenote , Microsoft Team , Slack

Teaching Experience

lecturer

  • Probability, statistics, and Calculus, Tehran Virtual University, Iran, 2008

Teaching Assistant

  • Applied Statistics (STAT 500), PSU, FALL 2017,2016,2015, Summer 2016
  • Intermediate Applied Statistics (STAT 460), PSU, FALL 2017
  • Regression Methods (STAT 501), PSU, Summer 2017, Spring 2017
  • Elementary Statistics (STAT 200), PSU, Spring 2016
  • Introduction to Stochastic Models (STAT 416), PSU, Fall 2015
  • Applied Statistics in Science (STAT 319), PSU, Spring 2015
  • Probability & Mathematical Statistics (STAT 414), PSU, Fall 2014
  • Calculus I, Sharif University of Technology, Iran, 2011
  • Algebra I, K.N. Toosi University, Iran, 2010
  • Probability and Statistics, K.N.Toosi University, Iran, 2007

 

AWARDS

2017 – RAO

Best Poster Presentation Award

May 2017
Best Poster Presentation Award, 2017 Rao Prize Conference, May 2017

2011 – NMC

Silver Medal

2011
Silver Medal, 35th Iranian National Mathematics Competition for university Students, 2011

Mathematics

Ranked 8th

2011
Ranked 8th, among nearly 8,000 participants in the National University Entrance Exam for M.Sc. in Mathematics

TMC

Top ten

2008
Top ten, in Mathematics competition held among undergraduate university students who studied in Tehran By Iran University of Science and Technology.

 

TESTIMONIALS

Xiao Ni

Xiao Ni Group Head Biostatistics – NIBR

Energetic and highly professional are the phrases when I think of Ardalan. I’ve had the pleasure of collaborating with Ardalan during his summer internship with Novartis, as one of his mentors. I was impressed with his solid statistical training, deep knowledge and creativity in RShiny application development. His expertise and contributions in promoting Shiny modularization are highly valued. I think what made him exceptional is not only his technical competencies, but also a combination of passion, energy and pleasant personality. Ardalan would be a true asset for a statistician/biostatistician position. His skills in RShiny and machine learning would be a plus for a data science oriented quantitative organization. I highly recommend Ardalan without reservation.
Read in LinkedIn

PORTFOLIO

Introduction to Python

Introduction to Python

Python for R users

Python for R users

Optimizing R Code with Rcpp

Optimizing R Code with Rcpp

Introduction to Git for Data Science

Introduction to Git for Data Science

Parallel Computation

Parallel Computation

Parallel Programming in R

Parallel Programming in R

Forecasting Using R

Forecasting Using R

Exploratory Data Analysis

Exploratory Data Analysis

Visualizing Time Series Data in R

Visualizing Time Series Data in R

Manipulating Time Series Data in R with xts & zoo

Manipulating Time Series Data in R with xts & zoo

Introduction to the Tidyverse

Introduction to the Tidyverse

Working with Dates and Times in R

Working with Dates and Times in R

Inference for Numerical Data

Inference for Numerical Data

Inference for Categorical Data

Inference for Categorical Data

Categorical Data in the Tidyverse

Categorical Data in the Tidyverse

Exploratory Data Analysis in R

Exploratory Data Analysis in R

Dealing With Missing Data in R

Dealing With Missing Data in R

Experimental Design in R

Experimental Design in R

Deep Learning in Python

Deep Learning in Python

A/B Testing in R

A/B Testing in R

Introduction to Time Series Analysis

Introduction to Time Series Analysis

Introduction to Spark in R using sparklyr

Introduction to Spark in R using sparklyr

NK Map

NK Map

Introduction to Machine Learning

Introduction to Machine Learning

Visualizing Big Data with Trelliscope

Visualizing Big Data with Trelliscope

Interactive Maps with leaflet in R

Interactive Maps with leaflet in R

Joining Data in R with dplyr

Joining Data in R with dplyr

Joining Data in PostgreSQL

Joining Data in PostgreSQL

Intro to SQL for Data Science

Intro to SQL for Data Science

Data Manipulation in R with dplyr

Data Manipulation in R with dplyr

AFSSEN : Adaptive Function-on-Scalar Smoothing Elastic Net

AFSSEN : Adaptive Function-on-Scalar Smoothing Elastic Net

A dancing foot bring the whole town to joy

A dancing foot bring the whole town to joy

Nostalgia

Nostalgia

Story of a Town

Story of a Town

Shiny : Raavi, Educational data Visualization

Shiny : Raavi, Educational data Visualization

Shiny: Privacy for Facial Imaging

Shiny: Privacy for Facial Imaging

Privacy for Functional Data

Privacy for Functional Data

Ardalan Mirshani

CONTACT

Please feel free to contact me about anything.

LET’S SOCIALIZE

DROP ME A LINE!

Ardalan Mirshani

azm245@psu.edu

Ardalan Mirshani