contacts 
 
Educated is who knows where to find what he does not know. — Georg Simmel
 
Briefly about myself: I am self-motivated, personable and has a passion for adapting to the new environment, new knowledge and new technologies. I am interested in data analysis, data visualization and topics in data science and is diligently learning the tools R and Python
 
  Work experience 
  Business Customisation Administrator  |   Canada Life Europe  |   Neu-Isenburg, Germany 
present - 07/2018 
 
  Administrator customer master data  |   Henry Schein Deutschland  |   Langen, Germany 
03/2018 - 01/2018 
 
  Clerk Employee Compliance  |   Deutsche Boerse  |   Eschborn, Germany 
12/2017 - 10/2017 
 
  Working student & internship  |   Autoliv  |   Holzgerlingen, Germany 
02/2017 - 03/2016 
 
  Student job  |   Allianz Deutschland  |   Stuttgart, Germany 
03/2016 - 01/2016 
 
  Working student  |   Mercedes-Benz Group  |   Esslingen, Germany 
05/2015 - 12/2014 
 
  Internship  |   Boerse Stuttgart  |   Stuttgart, Germany 
03/2014 - 10/2013 
 
 
  Upskilling 
  Data Science and Artificial Intelligence  |   Mohirdev  | Certificate course, online     Tashkent, Uzbekistan
present - 10/2024 
 
  Data Science and Business Analytics  |   University Kempten  | Certificate course, presence     Kempten, Germany
04/2020 - 11/2019 
 
 
  Academic Education 
  Economics, Bachelor of Science (B.Sc.)  |   Nuertingen Geislingen University (HfWU)     Nuertingen, Germany
08/2016 - 03/2011 
 
  German studies, Bachelor of Science (B.Sc.)  | not completed       Uzbekistan State University of World Languages    Tashkent, Uzbekistan
02/2009 - 09/2006 
 
 
  School Education 
  Preparatory college  |   HTWG Konstanz - University of Applied Sciences     Konstanz, Germany
02/2011 - 03/2010 
 
  Secondary school  |   Mittddle school, Nr. 56 |   Shakhrisabz, Uzbekistan 
06/2006 - 09/1995 
 
 
  IT skills 
Code 
# required packages: tidyverse, ggimage, ggtext, here  
# Mapping names for icons  
 map_it <-  c ( 
   'xcel'  =  "exc" , 'r'  =  "r" , 'quarto'  =  "qmd" , 'python'  =  "py" , 'sql'  =  "sql" ,  
   'shiny'  =  "shiny" , 'bi'  =  "bi" ) 
 
 ylabels <-  c () 
for (i in  1 : length (map_it)){ 
   imgname <-  names (map_it[i]) 
   ylabels <-  c (ylabels, paste0 ("<img src='" , path, map_it[[i]], ".png' width='34' hight ='34'/>" )) 
 } 
 
# add column with imagepath to df  
 plt_it <-   
   # Data prepare -------------------------------------------------------------------------------------------  
   data_it |>                              
   mutate (name =  as.factor (ylabels)) |>   
   mutate (name =  fct_reorder (name, quant_val)) |>   
   # Plot body ----------------------------------------------------------------------------------------------  
   ggplot (aes (x =  quant_val, y= name)) +    
   geom_col (aes (x =  qual_val), fill= "#82aec0" , width =  0.9 ) +   
   geom_col (width =  0.8 , fill = "#44849c" )+   
   geom_text (aes (label =  subname),x= 0 , hjust=  -  0.05 , size =  3.7 , color =  "#c3d5e2" ) +  # #9FB6CD  
   scale_x_continuous (expand =  expansion (c (0.01 , 0.0 ))) +  
   labs ( 
     title =  "IT skills" , 
     x =  NULL , 
     y =  "Tools"  
   ) +  
   # Plot theme ---------------------------------------------------------------------------------------------  
   theme_bw () +  
   theme ( 
     panel.border =  element_blank (), 
     plot.title =  element_text (size =  14 , color =  "steelblue" , face =  "bold" , hjust =  0.5 ), 
     axis.title.y =  element_text (size =  12 , color =  "steelblue" , face =  "bold.italic" ),  
     axis.text.y =  element_markdown (hjust =  50 ), 
     axis.text.x =  element_blank (), 
     panel.grid.major.x =  element_blank (), 
     panel.grid.minor.x =  element_blank (), 
     plot.background =  element_rect (fill =  "#c4e1e9" ),  
     panel.background =  element_rect (fill =  "#c3d5e2" ) 
   ) 
 
# aspect ratio / Seitenverhältnis   
 plt_it +  theme (aspect.ratio =  0.7 ) 
 
 
 
  Languages 
Code 
# Mapping names for icons  
 map_lang <-  c ('Uzbek'  =  "uz" , 'German'  =  "de" , 'Russian'  =  "ru" , 'English'  =  "gb" ) 
 xlabels <-  c () 
for (i in  1 : length (map_lang)){ 
   imgname <-  names (map_lang[i]) 
   xlabels <-  c (xlabels, paste0 ("<img src='" , path, map_lang[[i]], ".png' width='36' hight ='34' />" )) 
 } 
 
# add column with imagepats to the df  
 df_lang_en <-  cbind (data_lang_en, xlabels) 
 
 plt_lang_en <-  
   df_lang_en |>  
   # plot body ----------------------------------------------------------------------------------------------  
   ggplot ( 
     aes (x =  reorder (xlabels, lval), y =  lval)) +  
   geom_bar (width =  0.8 , stat =  "identity" , fill =  "#63a6c0"  ) +  # "#468499"  
   scale_y_continuous (expand =  expansion (c (0.01 , 0.0 ))) +  
   geom_text (aes (label =  lsubname),  
             y =  0.5 , hjust=  0.0 , size =  5 , color =  "lightsteelblue1" )+  
   # titles, axis labels,..  
   labs ( 
     title =  "Language skills" , 
     x =  "Languages" , 
     y =  NULL  
   ) +  
   coord_flip (clip =  "off" , expand =  TRUE ) +  
   # Plot theme ---------------------------------------------------------------------------------------------  
   theme_bw () +  
   theme ( 
     panel.border =  element_blank (), 
     plot.title =  element_text (size =  14 , color =  "steelblue" , face =  "bold" , hjust =  0.5 ), 
     axis.title.y =  element_text (size =  12 , color =  "steelblue" , face =  "bold.italic" ), 
     axis.text.y =  element_markdown (), 
     axis.text.x =  element_blank (), 
     panel.grid.major.x =  element_blank (), 
     panel.grid.minor.x =  element_blank (), 
     plot.background =  element_rect (fill =  "#c0d6e4" ), 
     panel.background =  element_rect (fill =  "lightcyan2" )  
   ) 
 
# aspect ratio / Seitenverhältnis   
#plt_lang + theme(aspect.ratio = 2.5/8) # apsolut  
 plt_lang_en +  theme (aspect.ratio =  0.4 )    # percent  
 
 
 
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