Welcome to my Data Science repository! 🚀
This repo showcases my learning journey, projects, and resources in Data Science, Machine Learning, and Analytics.
I am an aspiring Data Scientist passionate about turning raw data into meaningful insights and building predictive models that solve real-world problems.
My expertise includes:
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Machine Learning (Supervised & Unsupervised)
- Data Visualization & Storytelling
- SQL & Big Data Concepts
- Python Projects: Data manipulation and analysis using NumPy, Pandas.
- Visualization Projects: Insights using Matplotlib, Seaborn, and Plotly.
- Machine Learning Models: Regression, Classification, Clustering.
- Mini Projects: Sentiment Analysis, Recommendation Systems, Time-Series Forecasting.
- Case Studies: Real-world datasets and business problem-solving.
- Languages: Python, SQL
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow (basics)
- Tools: Jupyter Notebook, Google Colab, Git & GitHub
- Databases: MySQL, PostgreSQL (basic)
- Cloud: AWS / GCP (basic knowledge)
- Improve in Machine Learning and Deep Learning.
- Work on end-to-end projects (from data collection to deployment).
- Contribute to open-source projects.
"Data is the new oil; insights are the fuel that drives innovation."