A data analyst with experience in analyzing, cleaning, and interpreting large datasets to provide actionable insights to stakeholders. Proficient in data analysis tools such as Excel, R, Python, and SQL, as well as data visualization tools like Tableau and Power BI. Strong analytical and problem-solving skills, with experience in statistical analysis techniques and machine learning. Proven ability to communicate data insights to non-technical audiences, and track record of data-driven decision making.
The system is designed for the safety of drivers. The system beeps up an alarm when it detects the driver being drowsy or fatigued.
Developed a full stack web application through which the consumer could apply for a Chargeback of his fraudulent transactions. The bank receives all details regarding the fraud and after validating, decides whether to initiate the Chargeback for the particular customer or not.
This project comes under the state privacy law program under the umbrella of data privacy laws passed by the U.S. government. As per U.S. government's new law, consumer has the right to access their data that the client possesses as well as the right to get it deleted upon the request to the company.
1. Work closely with programmers and clients to meet project requirements, goals, and desired functionality.
2. Created various data entry forms and connected them to the database.
3. Styled the home page and about page of the website.