With over 3 years of comprehensive experience in the field of research analytics, particularly in the Insurance sector, I hold a Master of Commerce in Management and a Bachelor of Commerce in Finance. Proficient in data analysis, statistical analysis, customer behavior analysis, and financial data examination. Skilled in Microsoft Excel, Power BI, SQL, and Python, with a track record of providing insightful data-driven solutions.
0 + Projects completed
Seasoned Analyst with the experience of driving business strategies through data-driven insights. Proven expertise in data analytics, statistical analysis and project management.
Below are the sample Data Analytics projects on SQL, Power BI & Python.
The AtliQ Hotels Data Analysis project leverages SQL for data extraction and transformation, and Power BI for dashboard creation. Key insights include total revenue, occupancy rates, and customer ratings, aiding in strategic decision-making for optimizing market share and revenue.
Tools Used: Excel Power BI
This project aims to analyze absenteeism data using Power BI to uncover insights and trends. The analysis includes data visualization and extracting key metrics to provide a comprehensive overview of absenteeism patterns.
Tools Used: SQL Power BI
The Toman Bike Share Project involves the analysis of bike share data for the years 2021 and 2022. This project utilizes SQL for data extraction and transformation, and Power BI for data visualization. The data is stored in three CSV files and is analyzed to gain insights into usage patterns, financial performance, and other key metrics.
Tools Used: SQL Power BI
In order to monitor and assess our bank's lending activities and performance, we need to create a comprehensive Bank Loan Report. This report aims to provide insights into key loan-related metrics and their changes over time. The report will help us make data-driven decisions, track our loan portfolio's health, and identify trends that can inform our lending strategies.
Tools Used: Excel
This dashboard provides an insightful analysis of coffee sales data, created using Microsoft Excel. The dataset includes information on orders, customers, and products, allowing for a comprehensive view of sales performance over time, by region, and by customer.
Tools Used: Excel
This project involves analyzing retail order data. The analysis includes data cleaning, processing, and deriving insights using Python and SQL. The raw data was obtained from Kaggle, and the detailed steps of the analysis are documented in the following sections.
Tools Used: SQL Python
This project aims to explore the Walmart Sales data to understand top performing branches and products, sales trend of of different products, customer behaviour. The aims is to study how sales strategies can be improved and optimized. The dataset was obtained from the Kaggle Walmart Sales Forecasting Competition.
Tools Used: SQL
The Amazon Sales Analysis project involves analyzing sales data to identify trends and patterns that can help in making informed business decisions. The project covers various aspects of data analysis including data preprocessing, exploratory data analysis, and visualization.
Tools Used: Python
The Restaurant Order Analysis project aims to analyze order data to identify the most and least popular menu items and types of cuisine. The analysis objectives and their corresponding queries are outlined below.
Tools Used: SQL
Below are the details to reach out to me!
Delhi, India