Inspiration
The H1-B visa program is a key component of the United States immigration system and allows employers to hire foreign workers in specialty occupations. These occupations typically require a high level of specialized knowledge and at least a bachelor's degree or its equivalent. The H1-B visa datasets contain valuable information regarding visa applications, providing insights into various aspects of the program, including employer details, job positions, salaries, locations, prevailing wages, and visa outcomes. Analyzing these datasets can offer valuable insights into trends, patterns, and dynamics within the labor market, as well as shed light on the impact of immigration policies and regulatory changes.
What it does
This project shows visualizations to identify key trends in approval rates, denial rates, and their geographical distribution. A decision tree model predicts the chances for acceptance of visa applications.
How we built it
Analyzed the US H1B dataset, which contains insights into various aspects of the H1B visa program like job titles, salaries, employer locations, etc. Applied data analysis and machine learning techniques to extract meaningful trends and patterns from the dataset, contributing to informed decision-making and a deeper understanding of the H1B visa landscape. Upon this analysis, we are making a model to predict the status of the applied H1-b visa.
Challenges we ran into
Some of the major challenges that I faced were:
- Cleaning the data to drive features from the data.
- Training the model to predict the result from a given data.
Accomplishments that we're proud of
This was my first project on building a model and I'm proud that I was able to drive results from the data analysis, apply these insights to train a model, and come up with a good result.
What we learned
I've learned how to use data analysis to empower ML models.
What's next for H1B-visa-Data-Analysis
I'm looking forward to building an app, that would help users find their chance of approval for a visa based on their details.
Built With
- decisiontree
- machine-learning
- matplolib
- python
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