📍 Focused on building real-world, production-grade data science & machine learning projects
I am an aspiring Data Scientist with a strong foundation in Python and SQL, specializing in data analysis, machine learning, and predictive modeling. I work extensively with:
- pandas & NumPy for data manipulation
- scikit-learn for ML pipelines and models
- TensorFlow for deep learning applications
I also bring prior experience in PHP web development and Java programming, giving me strong backend logic, clean coding habits, and software engineering discipline. My focus is on building end-to-end ML solutions using real-world datasets.
- 📊 Exploratory Data Analysis (EDA)
- 🧹 Feature Engineering & Data Cleaning
- 🤖 Machine Learning Models
- 📈 Predictive Analytics
- 🧠 Deep Learning
- 🛠️ End-to-End ML Pipelines
- Building production-quality ML models
- Kaggle datasets, notebooks, and competitions
- Model evaluation & optimization
- Strengthening statistics & business problem solving
- Active in datasets, notebooks & competitions
- Focus on real-world ML problem solving
Kaggle: https://kaggle.com/pankajkapri
- 🌐 GitHub: https://github.com/pankrulez
- 📊 Kaggle: https://kaggle.com/pankajkapri
- 💼 LinkedIn: https://kaggle.com/pankajkapri
⭐ Open to internships, collaborations, and ML research projects