Pragya Kumari
An Insightful and Detail-Oriented Data Analyst aiming to excel as a Data-Driven Problem Solver.
Python
MySQL
Pandas
Numpy
SCIPY
Jupyter
Microsoft Excel
Power BI
Scikit-learn
Flask
Amazon AWS
HTML
CSS
Created a user-friendly web page for predicting doctors' fees via machine learning. Enhanced accuracy by extracting and processing data from Practo, a leading healthcare platform, and applied advanced data analysis and machine learning to empower patients with accurate doctor fee estimates.
Conducted detailed COVID-19 analysis using accessible data of JSON file. Data extraction and cleaning using Python libraries and data visualization with SQL along with interactive dashboard in Excel to find trends and derive actionable insights, focusing on yearly, monthly and daily progression of cases, recoveries, deaths and vaccinations.
Comprehensive analysis of a superstore's sales data by utilizing Python libraries to perform EDA, Power Query and Power BI to create interactive dashboard. The aim is to provide strategic guidance and empowering informed decision-making to enhance store performance and customer engagement, showcasing the power of data analysis in today's business landscape.