🎓 Final-year Engineering Student | 📊 Aspiring Data Scientist | 🤖 Machine Learning Learner
I am a final-year engineering student with a strong, hands-on foundation in Python, Statistics, SQL, and Exploratory Data Analysis (EDA). I follow a structured, concept-first learning approach where every topic is practiced using real datasets and clean Jupyter notebooks.
I strongly believe in learning by doing, and I regularly push my practice work and mini-projects to GitHub in an organized manner.
- Programming: Python
- Data Analysis: Pandas, NumPy
- Visualization: Matplotlib, Seaborn
- Databases: SQL
- Statistics: Descriptive & Inferential Statistics
- EDA: Data Cleaning, Outlier Analysis, Missing Value Handling, Feature Understanding
- Data Transformation: Log, Square-root, Box-Cox, Yeo-Johnson
- Machine Learning: Learning & implementing ML algorithms
- Tools: Jupyter Notebook, Git, GitHub
- End-to-end Exploratory Data Analysis pipelines
- Data preprocessing & feature engineering workflows
- Machine Learning models (Regression & Classification – in progress)
- Structured project notebooks with clear interpretation
All my learning is documented and available in my repositories.
To become a skilled Data Scientist / Machine Learning Engineer with strong mathematical foundations, practical implementation skills, and real-world problem-solving experience.
- 💼 LinkedIn: https://www.linkedin.com/in/kishandk2003
- 📧 Email: kishankucchu@gmail.com
- 🧾 GitHub: https://github.com/KishanDK
⭐ If you find my work useful, feel free to explore my repositories and connect with me!