A collection of tools and technologies I use across data analysis, visualization, and automation.
Python
SQL
Power BI
Excel
Jupyter
GitHub
MySQL
Data Modeling
Data Automation
PgAdmin SQL
HTML
CSS
Certified Data Analyst with expertise in Python, SQL, Excel, and Power BI. Experienced in building real-world projects, including analyzing unemployment trends and airline delays, using data analytics to derive meaningful insights and drive informed decisions.
CGPA: 7.02
Grade: First Division.
Below are the Data Analytics projects on Python, SQL, EDA(Exploratory Data Analysis), Power BI, Advanced Excel & Google Looker Studio.
Developed a real-time Zomato Analytics Dashboard using Power BI and MySQL, reducing data latency by 40% and enhancing reporting accuracy by 20%. Delivered stakeholder-specific KPI visualizations through dynamic dashboards, streamlining decision-making processes.
Tools Used: Power BI, MySQL, DAX
Analyzed unemployment trends during COVID-19 using state-wise and demographic segmentation to uncover key economic impacts. Built interactive visualizations that boosted stakeholder engagement by 30%, and enhanced data reliability through Excel data cleaning and DAX optimization.
Tools Used: Power BI, Microsoft Excel, DAX
This project analyzes hotel booking cancellations to uncover key patterns and optimize revenue. Using Python and data visualization, it provides insights to refine pricing, marketing, and customer retention strategies.
Tools Used: Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook, Data Visualization
A dynamic Excel dashboard leveraging pivot tables, VBA macros, and automation to track sales, analyze performance, and optimize decision-making. It simplifies data processing, enhances forecasting, and provides real-time insights for data-driven sales strategies.
Tools Used: Microsoft Excel
Below are the details to reach out to me!