class HARSHITHA B N: def init(self): self.name = "HARSHITHA B N" self.role = "Data Analyst | Data Science Enthusiast" self.skills = ["SQL", "Python", "Power BI", "Data Visualization", "Data Cleaning"] self.goal = "Turning raw data into meaningful insights 🚀"def current_focus(self): return ["Interactive dashboards", "Predictive analytics", "Business insights"]
harshitha = harshithaBN()
📊 Sales Analysis Dashboard (Power BI)
- Developed an interactive Power BI dashboard displaying revenue, trends, and category insights.
- Used SQL queries for data cleaning and aggregation.
- Provided key metrics to enhance business strategy.
Tech Stack: Power BI | SQL | Excel
🐍 Data Cleaning & EDA in Python
- Performed exploratory data analysis using Pandas, Matplotlib, and Seaborn.
- Extracted trends using correlation and statistical visuals.
- Automated data preprocessing for machine-learning readiness.
Tech Stack: Python | Pandas | NumPy | Seaborn
🧠 Customer Churn Prediction (ML)
- Built predictive models with Logistic Regression & Decision Trees.
- Achieved 92% accuracy on test data.
- Presented insights visually using Power BI.
Tech Stack: Python | Scikit-learn | Power BI
