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Uber Company Research Report

1. About the Company

Overview

Uber is a global leader in the transportation technology industry, especially known for its ride-sharing, food delivery, and logistics services. Founded in 2009 by Garrett Camp and Travis Kalanick, Uber has continuously expanded its operations worldwide.

Company Mission, Values, and Culture

• Mission: To ignite opportunity by setting the world in motion.
• Core Values: Safety, Customer Obsession, Diversity, Integrity.
• Culture: Described as dynamic and innovative with a strong emphasis on collaboration, Uber has strived to transform its culture following past controversies.

Growth Metrics- Revenue Growth: 36% year-to-date growth in stock prices.

• Employee Growth: Expansion across various domains as part of a growth strategy.

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https://www.linkedin.com/jobs/view/3980983258/

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Job Analysis Report: AI/ML Architect at Balbix

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1. Core Requirements

Explicit Requirements (Must-Have Skills)

1. Experience: 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems (Confidence Score: High)
2. Educational Background: A Ph.D. in Computer Science and Engineering or related field (Confidence Score: High)

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JD: https://www.uber.com/global/en/careers/list/137898/?uclick_id=cc8ff698-250f-4f23-b7b0-1967eab52c62
Crew AI with manager model gpt-4o
Agent model gpt-4o-mimi

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Job Analysis Report: Staff Software Engineer at Uber

1. Core Requirements

Explicit Requirements (Must-Have Skills)

1. Experience: - 10+ years of experience in full-stack software development (Confidence Score: High)

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p.initialize() # initializing progress bar 
for e in range(10):
    for i in range(70):
        # Sleep for simulating training. Not required in actual usage of progress bar.
        time.sleep(0.1)
        """
        Code Block For Training
        
        
        ----------------

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#Importing the progress bar library
from progress import Progress as P
import time
import random


p = P(70, mode='bar')  # progress bar object

# defining progress bar elements
epoch = P.Element("Epoch", 0)

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#Importing the progress bar library
from progress import Progress as P
import time

images = 2478 # number of images to process
# Create a progress bar instance
p = P(images,mode = 'no-bar')

# Creating one element for image counter
counter = P.Element("Images Processed", 0)

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# python functions exposed to javascript
@eel.expose
def generate_new_sudoku(level):
    global current_sudoku_onboard
    # generating sudoku for required level
    current_sudoku_onboard = Sudoku().generate_sudoku(int(level))
    # drawing sudoku by calling javascript function from python
    eel.draw_sudoku(current_sudoku_onboard)

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// JavaScript functions exposed to python
eel.expose(draw_sudoku)
eel.expose(update_sudoku)
// Function for drawing sudoku
function draw_sudoku(data) {
    for (i = 0; i < 81; i++) {
        // row and col values for corresponding i values
        row = ~~(i / 9);
        col = i % 9;

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def generate_sudoku(self, level=2):
        # generate solved sudoku
        self.generate_solved_sudoku()
        if level == 1:
            remove_cell = random.randint(32, 38)
        if level == 2:
            remove_cell = random.randint(40, 46)
        if level == 3:
            remove_cell = random.randint(48, 52)
        if level == 4:

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    def __generator__(self, grid, i, j):
        number = [1, 2, 3, 4, 5, 6, 7, 8, 9]
        if j > 8:
            j = 0
            i += 1
            # end condition
            if i > 8:
                return True

        # skipping cell if the cell has already a number