Web-Scraping Data Form Used Cars Portal
The purpose of this project is to conduct web-scraping of used car data from used car portal and perform exploratory data analysis and data visualization using python.

"Highly analytical and detail-oriented professional in both Data Analysis and Business Analysis. Skilled in collecting, analyzing, and interpreting large datasets using tools such as SQL, Excel, and Python. Experience with data visualization tools such as Tableau and Power BI. Strong communication and presentation skills, with a proven ability to explain complex data insights to stakeholders at all levels of an organization. In addition, skilled in understanding business needs and goals, and identifying opportunities for improvement or growth. Proficient in conducting requirements gathering, gap analysis, and business process improvement. Seeking a challenging Data and Business Analyst position that will allow to apply kills and experience to drive business growth and success
The purpose of this project is to conduct web-scraping of used car data from used car portal and perform exploratory data analysis and data visualization using python.
Load and normalize a large amount of denormalized data in SQL workbench. Contains data about flight times for domestic flights in the US across three time periods - the late 90s, mid 2010s, and during the pandemic.
Predicting Pedestrians Using Kalman Filter / Seattle University To predict the possible future positions of pedestrians Developed a model that can describe the pedestrian's motion under the influence of other nearby objects – vehicles and other pedestrians. Predicting the motion of a group of pedestrians under vehicle influence is crucial for the development of autonomous vehicle.