I am a passionate Data Analyst who loves working with data to generate actionable insights and create beautiful visualizations. With a background in Python, SQL, and Power BI, I strive to bring data-driven decision-making into everyday business operations.
- 🎓 AI Enthusiast: Currently learning Artificial Intelligence with a focus on Data Science.
- 💡 Problem Solver: Tackling real-world problems with data analysis, machine learning, and predictive modeling.
- 💻 Web Developer in Training: Building web apps using Flask, HTML, and CSS.
- 🎯 Goal: Becoming an expert in Machine Learning and Advanced Data Analytics.
- 🔍 Data Cleaning: Cleaning messy datasets for better accuracy and clarity.
- 📊 Data Visualization: Turning complex data into insightful and interactive dashboards with Power BI.
- 📈 Data Analysis: Exploring and analyzing data to derive actionable insights using Python and SQL.
- 🛠️ Web Development: Building simple web applications to make analysis more accessible.
-
💻 Languages:
-
🛠️ Tools & Technologies:
-
🗄️ Databases:
- Description: Performed data cleaning and analysis on HR data using MySQL. Built a dynamic Power BI dashboard for visualization.
- Tech Stack: MySQL, Power BI
- Highlights: Employee attrition analysis, performance evaluation, demographic insights.
- Description: A web app that computes Cholesky decomposition using Python and Flask, with an interactive frontend built using HTML and CSS.
- Tech Stack: Python, Flask, HTML, CSS
- Description: Analyzed Netflix data using PostgreSQL and visualized insights in a Power BI dashboard.
- Tech Stack: PostgreSQL, Power BI
- Highlights: Genre trends, most popular directors, viewer behavior analysis.
-
🌱 Machine Learning: Focusing on regression, classification, and clustering techniques.
-
🌐 Web Development: Enhancing my Flask and front-end skills to build more interactive web apps.
-
📊 Advanced Data Visualization: Exploring DAX in Power BI for more customized visuals.
"Data is the new oil, and data analysts are its refineries."