waresume.qmd

---
title: "Wednesday Addams"
subtitle: "Data Science resume built with R Quarto markdown"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(
  echo = FALSE,
  eval = TRUE,
  message = FALSE,
  warning = FALSE,
  fig.align = "center"
)
```

::: callout-note
As a huge Wednesday fan, after finishing the season I created a Data Science resume for her during the wee hours of midnight! You can find my github code repository for Wednesday Addam's resume [here](https://github.com/deepshamenghani/Wednesday_Addams_resume_quarto/).
:::

# Education

Nevermore Academy, Jericho - present

<hr>

```{r}
#| column: screen

library(tidyverse)
library(gtrendsR)
library(showtext)
library(ggthemes)
library(cowplot)
library(magick)
library(ggimage)
theme_set(theme_cowplot())

font_add(family = "BloodyTerror-GOW9Z.ttf", regular = "BloodyTerror-GOW9Z.ttf")
showtext_auto()

# wednesday_search<-gtrendsR::gtrends(
#   keyword= c("Wednesday Addams"),
#   time = "today 1-m"
# )
# 
# wednesday_hits <- wednesday_search$interest_over_time %>% 
#   mutate(date=as.Date(date),
#          hits = replace_na(as.numeric(hits),0))
# 
# writexl::write_xlsx(wednesday_hits, "wednesday_hits.xlsx")

wednesday_hits <- readxl::read_xlsx("wednesday_hits.xlsx")

wednesday_chart <- wednesday_hits %>% 
  ggplot(aes(x = date, y = hits)) +
  geom_area(color = "red", alpha = 1, size = 1)  + 
  theme_minimal() +
  theme(text = element_text(family = "BloodyTerror-GOW9Z.ttf")) +
  labs(x = "", 
       y = "",
       title = "Google hits over time!!!") +
  theme(title = element_text(color = "gray4", size = 40))  

wednesdayadams2 <- image_read2("WA_screenshot_serious.png")

ggdraw() +
  draw_plot(wednesday_chart) +
  draw_image(wednesdayadams2, x = 0.9, y = 0.9, hjust = 1, vjust = 1, width = 0.13, height = 0.4) 

```

# Experience

## Sr. Data Journalist, Nevermore (2022 - present)

-   Independently analyzed student journeys among peers to create a classification model for identifying sketchy monster
-   Optimized data gathering and research based on new and evolving constraints by the school principal and sheriff
-   Suspected every stakeholder I came in contact with following "Trust but verify" data philosophy
-   Developed AI based psychic visions in my head to create a propensity model for incident occurrence with 100% accuracy 
-   Successfully led a team of trusting peers multiple times to face dangers risen from bad data collection
-   Expertly coded in multiple languages like Latin and German
-   Developed algorithms using Natural Language Processing and Deep Learning models to communicate with dead and alive stakeholders

# Hobbies

-   Dancing like nobody is watching
-   Being cold and distant in an adorable way
-   Not hugging

<br>

![Screenshot from Netflix](WA_screenshot_smile.png)

# About this resume

-   Created by [Deepsha Menghani](https://deepshamenghani.quarto.pub/dmenghani/)
-   Packages used: Quarto, Tidyverse, gtrendsR, showtext, ggthemes, cowplot, magick, ggimage