👤 About Me
Hi, I’m Aryan Upadhyay — a self-taught machine learning enthusiast, blogger, and lifelong learner.
My journey into data science didn’t begin with a formal classroom — it began with curiosity. I’ve learned everything through hands-on experience, deep self-study, and consistently writing about what I learn. What started as personal notes is now a collection of 50+ blogs, helping others understand core ML topics in simple, clear language.
I build intelligent solutions that analyze data, predict outcomes, and solve real-world problems — and I share everything I do through blogs and projects.
SKILL SET
🔹 🧠Machine Learning Expertise
🔹 💻 Programming & Query Languages
Types: Supervised & Unsupervised Learning
Algorithms:
Python
C / C++
SQL / MySQL
🔹 📊 Tools
Linear & Logistic Regression
Decision Trees, Random Forest
Support Vector Machine (SVM),
K-Nearest Neighbors (KNN)
Naive Bayes, XGBoost
K-Means, Hierarchical Clustering, DBSCAN, PCA
Excel
Jupyter Notebook
Google Colab
Markdown
Kaggle
Evaluation Techniques:
Cross-validation
Confusion Matrix, Precision, Recall, F1 Score
ROC–AUC
🔹 🧰 Development Environments
🔹 📚 Libraries & Frameworks
Scikit-learn
XGBoost
Statsmodels
Pandas
Numpy
Matplotlib
Seaborn
Plotly
VS Code
PyCharm
Anaconda Navigator
Spyder
🔹 🔗 Version Control & Platforms
Git
GitHub
Education
2023 - 2026
Bachelor of computer application
KURUKSHETRA UNIVERISTY
KURUKSHETRA HARYANA
2022- 2023
12th Non Medical
JAWAHAR NAVODAYA VIDYALYA
KURUKSHETRA HARYANA
