Praveena B
Aspiring Data Analyst
Aspiring Data Analyst skilled in Excel, SQL, and Power BI, passionate about analyzing data, identifying trends, and creating meaningful insights.
Skills & Tools
- ExcelExcel
- MySQLMySQL
- Power BIPower BI
About Me
I am a passionate and detail-oriented aspiring Data Analyst with skills in Excel, SQL, and Power BI. I enjoy working with data, finding trends and patterns, and turning data into meaningful insights. I am eager to learn, grow, and contribute to a professional organization.
Work Experience
july 2025 - aug 2025
Web Development Intern
Astro Web solutions
I completed a one-month internship in web development at Astro Web solutions, Madurai, where I gained hands-on experience in creating web designs.
This experience helped me strengthen my practical skills and provided valuable insights into the professional environment of the web development field.
Technologies used: HTML, CSS, Javascript.
Education
2022 - 2026
BE. Computer Science and Engineering
Mohamed sathak Engineering college
2021 - 2022
HSC
Hameediah Girls Higher Secondary School
2019 - 2020
SSLC
Hameediah Girls Higher Secondary School
Selected Work
Blinkit Retail Sales Dashboard - Power BI
Developed an interactive Blinkit Sales Analysis Dashboard using Power BI to analyze sales performance, customer ratings, item distribution, and outlet insights. The dashboard provides key business metrics such as Total Sales ($1.20M), Average Sales, Number of Items, and Average Ratings. It includes dynamic filters for Outlet Location, Outlet Size, and Item Type, along with visualizations for Outlet Establishment Trends, Fat Content Analysis, Item Categories, Outlet Size, Outlet Location, and Outlet Type Performance. This dashboard helps stakeholders identify sales trends, compare outlet performance, and make data-driven business decisions.
Revolutionizing AI-enabled Information Systems using Bigdata analytics and multi-modal data fusion
Developed an AI-enabled Information System that integrates Big Data Analytics with Multimodal Data Fusion to process and analyze heterogeneous data sources, including text, images, audio, video, and sensor data. The system leverages machine learning techniques to identify meaningful patterns, enhance contextual understanding, and support accurate real-time decision-making. Security features such as data encryption, user authentication, and role-based access control (RBAC) were implemented to ensure secure data management. The solution is designed for applications in healthcare, cybersecurity, intelligent transportation, and enterprise decision support systems.