Data Engineer
Data Engineer skilled in SQL, Amazon Redshift, DBT, Airflow, Python, Power BI & QuickSight
Power BI Virtual Case Experience with PwC provides an opportunity to solve real world business scenarios using Power BI.This experience consists of three case studies they are : Call Centre Trends (Visualising customer and agent behaviour) ,Customer Retention (Customer demographics and insights) & Diversity & Inclusion (Gender balance in the executive suite)
Participated in 365 Data Science Challenge.
Used Power BI to create dashboard which analyze student's engagement with 365 data science platform.
Used Power BI, Dashboard has been created to analyze the Sales data.
Purpose of the project is to show sales insights using dashboard and help to get answers to some of the business questions.
Participated in Onyx DataDNA Challenge.
Used tableau dashboard has been created for Forbes World’s Billionaires List 2022
Used Tableau, Dashboard has been created to analyze the Coffee Chain data.
Purpose of project: Finding the weak areas where the products are causing loss as well as addressed the business questions.
Used Tableau, Dashboard has been created to analyze the Bank Customers data.
Purpose of project: Bank Customer Churn Analysis Project is about analyzing customer data and find out among male and female customers who are most likely to churn and also addressed the business questions.
Used Python Programming language and its libraries pandas, matplotlib, seaborn, plotly, scikit-learn to solve tasks.
Worked on tasks like prediction using supervised machine learning, prediction using unsupervised machine learning & performing exploratory data analysis on retail store
Used Jupyter Notebook to create gui using Python Programming language.
Build linear regression model in order to predict insurance cost based upon given applicant data.
Used Microsoft SQL Server to load nashville housing dataset into the database.
Performed data cleaning using sql queries and data explore data get interesting insights