I'm an aspiring data scientist with strong skills in data analysis, visualization, and machine learning. I work on end-to-end data science projects, deriving insights from large datasets and solving complex problems. Beyond programming, I enjoy writing tutorials, creating personal projects, and participating in programming challenges. My work is focused on applying data science techniques effectively and sharing knowledge through blogs and articles.
- Languages: Python, SQL, html.
- Libraries & Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, flask.
- Tools: Jupyter, Git,Github, Streamlit, VS Code
- Data Science: Data Analysis, Machine Learning, Data Visualization, Predictive Modeling, Clustering, Regression
- Databases: MySQL.
I'm passionate about transforming data into actionable insights. My journey includes:
- Projects: Worked on various projects like Customer Segment Clustering and Indian Metropolitan Real Estate Prediction.
- Blogging: I regularly write blogs on Python, data science techniques, and machine learning models to share my learnings with the community.
- Courses: Completed online courses on data science and machine learning from Campusx.
- MATPLOTLIB | SEABORN | PLOTLY
- The Power of SQL: Understanding Databases and Their Importance
- Understanding Referential and Dynamic Structures: Why Tuples and Strings Take Less Memory than Lists.
- Customer Segment Clustering: A clustering project that segments customers based on their purchasing behavior.
- Indian Metropolitan Real Estate Prediction: A predictive modeling project using various machine learning techniques to forecast real estate prices.
- Streamlit Car Trends Dashboard: A Streamlit app that visualizes trends in the automotive industry.
- Earned certification in HackerRank programming challenges.
- Published several tutorials on Medium, helping fellow data enthusiasts understand complex topics.
- Continue building impactful data science projects.
- Contribute to open-source projects.
- Help democratize education by creating more tutorials and blogs.