I had the privilege of working on a project involving the analysis of Uber's data. I successfully managed a dataset with over 31 million entries, utilizing Python libraries for data preprocessing and cleaning. This experience allowed me to gain valuable insights into demand patterns using the Uber Pickups in NYC dataset and visualize Uber's ridership growth. I also estimated the value of the NYC market and revenue growth, showcasing my ability to transform raw
data into actionable information.
I have worked on a variety of projects, including Loan Prediction Project using Machine Learning, Data
Analysis on Employee Data using Tableau-SQL Integration, Exploratory Data Analysis on Covid - 19
using Python. These projects have equipped me with a robust skill set encompassing data analysis,
predictive modeling, and data visualization. Proficient in MySQL, MySQL Workbench, Tableau Public,Power BI,
and Python (Pandas, NumPy, Matplotlib, Seaborn), I am confident in my ability to contribute effectively
to your data-centric initiatives.I can make your project in a proficient manner.