Designed and built a full-stack banking analytics pipeline on a retail bank dataset,
translating business questions into production-style SQL used for credit risk, fraud detection,
and customer intelligence.
An end-to-end data analytics pipeline — live web scraping → pandas cleaning →
SQL business-question queries — built to analyze job posting trends.
Visualization is very important in Data Analysis. Here are all the Dashboards that i have built using Tableau.
Using Python, a thorough EDA was performed on the dataset. It included structural and Quality investigation, Data Manipulation, Data Visualization.
Feature Distribution (Univariate and Bivariate Analysis), relationship between the values in the dataset was determined.
Questions were answered and recommendations were made.
The Salary Pay Roll of Baltimore was used as a Database in SQL for this Project. Data Filtering, Data Preparation, Data Cleaning, Updating and fetching information on a given individual were performed. Some questions were answered from querying the Database.
This Project delved into getting the general world Data on COVID-19. A lot of operations were performed on two large datasets, some of the operations include Joins, Aggregations, CTE, Temp Tables and Views, to mention afew.
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