Data Science Office Hours.xlsx

	A	B	C	D	E	F
1	Data Science Office Hours - Spring 2022
2		Tutor	Main Language(s)	Email Address
3		June Choe	R (data vis, regressions, big data, rmarkdown/shiny, development), HTML/CSS/JS (data vis, web experiments)	yjchoe@sas.upenn.edu	received advisor permission
4		Lourdes Delgado Reyes	R, python, some familiarity with SPSS and matlab	ldelgrey@sas.upenn.edu	not needed
5		Ham Huang	Python (numpy, pandas, sklearn), R (regressions, tidyverse), javascript(not Java!), Machine learning, psychopy, also have experience with matlab but not a main one	hamhuang@sas.upenn.edu	received advisor permission
6		Pulkit Khandelwal	Python (numpy, sklearn, pandas, nltk, opencv), R (statistical analysis in detail), Matlab, Deep Learning, Computer Vision: PyTorch, Tensorflow	pulks@seas.upenn.edu	requested advisor permission
7		Stephanie Nam	R (ggplot2, regression, tidyverse, tidycensus, RMarkdown, APIs, visualizations, spatial analytics), Python (numpy, pandas, sklearn), SQL, Stata	namsteph@sas.upenn.edu	not needed
8		Nery Rodriguez	R (regression, tidyverse, ggplot2), Python (numpy, sklearn, pandas, statsmod, data visualization)	nery@sas.upenn.edu	not needed
9		Jonathan Salas	R (ggplot2, regression (mixed effects, robust methods, non-parametrics, GLMs), Shiny, RStudio Server)	salasjon@upenn.edu	requested advisor permission
10		Cybelle Smith	R (ggplot2, regression, mixed effects, GLMs, GAMMs, Bayes Factors), python (numpy, pandas, sklearn), Machine learning (Tensorflow), MATLAB, statistical analysis basics (model comparison, etc.), signal processing & analysis (PCA, ICA, filtering, basic autoregressive time-series, etc.); javascript	cybelle@sas.upenn.edu	not needed
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13	Sign up here for a 20-minute tutoring slot:
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15		Name	Email address	Question	Tutor
17		Karen Pan	kpanda@sas.upenn.edu	power analysis; graphs	Jonathan Salas	13 sessions
18		Xin Gao	kauhsin@sas.upenn.edu	web scraping; R visualization	June Choe	1 session
19		Hassan Munshi	hm679@sas.upenn.edu	Dynamic programming; sequemce alignment on R	June Choe	1 session
20		Lora Assi	loraassi@sas.upenn.edu	R	Nery Rodriguez	1 session
21		Mandi Nerenberg	amandarn@sas.upenn.edu	R - interrater reliability, creating aggregate rating from data	Ham Huang	3 sessions
22		Maia Chester	mchester@sas.upenn.edu	R logistic regression	Jonathan Salas	1 session
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