Hi, I'm Gayathri
Aspiring Data Analyst
Transforming raw data into actionable insights with expertise in Python, SQL,Power BI,Excel and advanced analytics. Passionate about uncovering patterns that drive business decisions.
Transforming raw data into actionable insights with expertise in Python, SQL,Power BI,Excel and advanced analytics. Passionate about uncovering patterns that drive business decisions.
Professional Summary
I am an aspiring Data Analyst with a solid foundation in data interpretation, statistical analysis, and business intelligence tools. My expertise spans across Excel, SQL, Python, and data visualization platforms such as Power BI and Tableau.
Through academic projects and self-directed learning, I have developed strong analytical thinking capabilities and a passion for transforming complex datasets into meaningful business insights. I am eager to contribute to data-driven decision making in a dynamic organization.
Ready to bring academic knowledge to real-world challenges
Strong problem-solving and critical thinking abilities
Always updating skills with latest tools and technologies
Tools & Technologies I Work With
Some of my recent work
Designed an enterprise-grade retail analytics dashboard using Power BI with a star-schema data model, advanced DAX, and Power Query transformations. Delivered interactive insights into sales, customer behavior, product performance, and geographic trends through dynamic KPI switching and rolling time-intelligence.
Designed and built an interactive air-quality analytics dashboard using Power BI. Visualized pollutant levels, humidity trends, and temporal air-quality patterns for Beijing using advanced DAX calculations and custom visuals. Enabled users to explore pollution insights through dynamic charts, slicers, and automated metrics.
This project performs an in-depth exploratory data analysis (EDA) on the **Montgomery County 911 Emergency Call Dataset**. The analysis uncovers useful insights such as the busiest townships, most common emergency reasons, call frequencies by time, and daily/weekly/monthly patterns. Visualizations are generated using Matplotlib and Seaborn to clearly represent emergency trends and help improve public safety decision-making.
Developed a web-based Women Legal Advocate Finder App that helps users raise legal concerns and connect with advocates using a location-aware, interactive interface. Implemented a role-based system using HTML, CSS, PHP, and MySQL, with separate dashboards for users, advocate, and administrators
Academic background and professional development
Oct 2023 – May 2025
CGPA: 8.86
Python, SQL, Power BI, Excel, and AI modules
Virtualization, service models, and deployment strategies
Ready to turn data into insights together
gayathri3411@gmail.com
+91 7995933418
Hyderabad, Telangana