🎓 B.Tech Scholar | 📊 Aspiring Data Scientist & Analyst | 🚀 Passionate about AI & Systems Design
- 🔭 Currently exploring Data Science, Machine Learning, and Statistical Analysis
- 🌱 Learning Python, Pandas, NumPy, Scikit-learn, and Power BI
- 🎯 Goal: To turn data into actionable insights and build intelligent systems
- ⚡ Fun fact: I love visualizing data stories that reveal hidden patterns
- 🎓 B.Tech Scholar with a strong foundation in Python, C, HTML, CSS
- 📊 Aspiring Data Scientist & Analyst passionate about AI & Systems Design
- 🔭 Experienced in building Data Dashboards, ML Models, and Portfolio Websites
- 🚀 Skilled in data visualization, analytics, and storytelling with data
- 🎯 Actively learning SQL, Julia, Rust, Scala, and Go to future‑proof my skillset
- 🏆 Certified on platforms like Kaggle, Coursera, Tableau, DataCamp, and Udemy
- 💻 Consistent contributor with interactive GitHub stats, streaks, and activity graphs
- 🌐 Open to collaborations and opportunities in Data Science & Analytics
- Python → Core language for ML, AI, and data wrangling
- SQL → Essential for querying and managing structured data
- R → Strong in statistical modeling and research analytics
- C++ → High‑performance computing and algorithm optimization
- Julia → Combines Python‑like syntax with C‑level speed for big data
- Scala → Key for distributed systems and Apache Spark pipelines
- Rust → Secure, efficient systems programming for real‑time analytics
- Go (Golang) → Optimized for scalable, cloud‑native data pipelines
- Java → Widely used in enterprise data engineering and Hadoop/Spark
- Built using Python, Pandas, and Power BI
- Visualizes trends and insights from real-world datasets
- Implements Regression and Classification algorithms
- Includes Jupyter notebooks with detailed explanations
- Personal portfolio hosted on GitHub Pages
- Showcases projects, achievements, and data visualizations
✨ “Data tells stories — I turn them into insights.”
