Aspiring Data Scientist & Data Analyst with a strong academic background in Economics and hands-on experience in data analysis, visualization, and machine learning. I am passionate about transforming raw data into actionable insights and building solutions that solve real-world problems.
- Data Analysis & Visualization: Python, Pandas, NumPy, Matplotlib, Seaborn, Power BI, Excel
- Machine Learning: Scikit-learn, basic ML models (classification, regression)
- Data Cleaning & Processing: Handling missing values, outliers, and preparing datasets for analysis
- SEO Analytics & Reporting: Using data to improve digital performance
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Customer Churn Prediction → Built a Random Forest model achieving 87% accuracy.
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**E Commerce URL Generator ** → Generate and scrape the URL of the given product.
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Stock Scrapper → Scrape the given URLs for stock maintenance and data extraction.
Languages & Tools:
Python • SQL • Excel • Power BI • SPSS • Pandas • NumPy • Matplotlib • Scikit-learn • Git
- LinkedIn: https://linkedin.com/in/amna-bibi
- Email: amnab9373@gmail.com
- Portfolio: https://amnabibi5.github.io/
💡 Currently seeking Data Science internship opportunities to apply my skills, learn from industry professionals, and contribute to impactful projects.
