📜 List of notable tech companies in Singapore

Job search resources for tech, design, and web development-related jobs for workers impacted by the COVID-19 pandemic

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SQL project analyzing company layoffs over the past 3–4 years. Includes data cleaning (handling duplicates, nulls, formatting, standardize data ) and exploratory data analysis (EDA) to identify layoff trends. @AlexTheAnalyst

an experimental layoff tracking repo for the recent tech layoffs in the United States

Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.

Recently, Meta lately let go 13% of its staff, or further than 11,000 people, due to the recent profitable recession. This dataset was created with the expedients that it'll help the Kaggle community examine the current technological earthquake and unearth perceptive facts.

This project is about cleaning and preparing a global layoffs dataset for analysis, focusing on handling null values, correcting data types, and ensuring data integrity for more accurate insights.

LayoffsTracker is a data visualization dashboard focused on tracking layoffs in the tech industry. It provides insightful, real-time charts and timelines to explore job cuts by company, date, and sector.

A SQL-driven analysis of global layoffs during COVID-19, highlighting industry impact, geographic trends, and workforce shifts.

Unofficial project to automatically run BigLocalNews' WARN (layoff notice) scraper, commit what it finds

The story of a layoffs playlist

This report highlights key insights into the global layoff trends from 2020 to 2023, providing a comprehensive analysis of the recent developments in employee layoffs worldwide.

Visualizing the Impact of Layoffs

Performed EDA using SQL to track and analyze layoffs trends. Obtained data from Kaggle, utilized various processes to communicate various insights.

SQL-based analysis of global tech and startup layoffs from 2020 to 2023, uncovering trends by industry, funding stage, geography, and time using structured query logic.

data wrangling & integration project analyzing AI-related layoffs using corporate records and Reddit discussions. Includes full ETL workflow, cleaned datasets, and reproducible Jupyter Notebook for advanced analytics.

Data Cleaning and EDA for a Global Layoffs Dataset using MySQL

UC Davis STA 220 Web Scraping Project

Slack Find Fired People - SFFP