interests
- math (particularly statistics and linear algebra) based modeling
- info visualization
- applying machine learning methods on pricing and marketing
Time Schedule
since I have some classes during the week I’m making the following table of the times I believe that I can attend.
sat = c(0 , 0) ; sun = c(8 , 13);
mon = c(8 , 19) ; tue = c(0 , 0);
wed = c(8 , 19) ; thu = c(8 , 19);
fri = c(0,0)
tdf = as.data.frame(rbind(sat,sun,mon,tue,wed,thu,fri))
colnames(tdf) = c("start","finish")
hours = tdf$finish - tdf$start
tdf = cbind(tdf,hours)
kable(tdf) %>% kable_styling(bootstrap_options = c("striped", "hover", "responsive"))| start | finish | hours | |
|---|---|---|---|
| sat | 0 | 0 | 0 |
| sun | 8 | 13 | 5 |
| mon | 8 | 19 | 11 |
| tue | 0 | 0 | 0 |
| wed | 8 | 19 | 11 |
| thu | 8 | 19 | 11 |
| fri | 0 | 0 | 0 |
Resume
I am told this position is for a data science intern, so trying to be concise and averting from being verbose I summarized my resume to the below list,once I am invited to the interview I will bring a detailed one.
programming
- R (preferred language)
- Python (fair knowledge of Data science libraries)
- C++ (used for academic assignments)
libraries
- tidyverse (R)
- ggplot (R)
- knitr (R)
- purrr (R)
- curl (R)
- Rcpp (R)
- Scipy (py)
- pandas (py)
- keras (py)
- caret (R)
education
- Petroleum engineering @ sharif university of technology
- software engineering @ iactb
work experience
HR assistant @ VADA- house of mobile ; 8 months
co-founder @ Arizeh - online lawtech service ; 2 years
Car’s ECU performance developer team member @ Azarakhsh ; 9 months
certificates
- Getting and Cleaning Data / Coursera
- R programming by Johns Hopkins university / Coursera
- Data scientist Toolbox by Johns Hopkins university / Coursera
- inferential statistics and exploratory data analysis /coursera
- mathematics for machine learning ; linear Algebra / Imperial College London
- mathematics for machine learning ; calculus / Imperial College London
- Reproducible Research ; Johns Hopkins university/Coursera
- Regression models ; Johns Hopkins Coursera
contact
- email : amin@ru4.ir / rooholaminrasooli@gmail.com
- phone : 09357807838
- linkedin : @rouholaminr
- telegram : @rooholaminr