- ๐ค Building practical tools with Python & Data & Models
- ๐ Holder of international certificats from Harvard University, etc.
- ๐ I work Data Science | Machine Learning | Deep Learning | Python | SQL
- ๐ Official member of Harvard University's CS50 team in Iran branch
- ๐ Always learning and experiencing new things
- ๐ป Interested in Teaching programming to students
- ๐ Love Making and Leadering Teams & Collaboration
- ๐ Programmer interested in hard, big and new Projects
- ๐ Passionate about problem-solving and open-source contributions
- โ C
- ๐ BASH
- ๐๏ธ SQLite
- ๐ Python
- ๐ฎ Scratch
- ๐ Markdown
- ๐ฒ Data Science
- ๐ Data Analysis
- ๐งน Data Cleaning
- ๐ง Deep Learning
- CNNs
- RNNs
- Autoecoders
- Neural Networks
- ๐ง Machine Learning:
- Regression
- Clustering
- Classification
- ๐ ML Explainability
- ๐ Data Visualization
- โจ๏ธ Prompt Engineering
- ๐ Feature Engineering
- ๐๏ธ Work with Databases
- ๐ Book Writing
- โ Work Binary in C
- ๐งพ ICDL Seven Skills
- ๐พ Controlled Vibe Coding
- โ Version Control Mindset
- โก Ten-Finger Typing (Record: 79 WPM)
- ๐งฎ NumPy
- ๐งฎ Pandas
- ๐ Sqlite3
- ๐ Tkinter
- ๐ PySide6
- ๐ Seaborn
- ๐ค PyTorch
- ๐ Matplotlib
- ๐ค Scikit-Learn
- ๐ป auto-py-to-exe
- ๐ค Tensorflow & Keras
- โ Git
- ๐ Kaggle:
- ๐ Substack
- ๐ Khan Academy
- ๐IBM Skills Build
- ๐ง GitHub & GitHub Desktop
- ๐ป Spyder
- ๐ป VScode
- ๐ป Pycharm
- ๐ป Google Colab
- ๐ป Kaggle Notebook
- ๐ป Jupyter Notebook
- ๐ป Harvard CS50 VScode
- ๐ป IBM SkillsBuild Jupyter Lab
- ๐ป CMD
- ๐ป Git Bash
- ๐ป PowerShell
- ๐ป Work with .sh and .bat files
- ๐ป Command Line In Jupyter Notebooks
- ๐ป Pycharm, VScode and Harvard VScode Terminal
- ๐ง Linux
- ๐ป Windows
- ๐ Adaptability
- ๐ Self-Learning
- ๐ Communication
- ๐งฉ Problem Solving
- ๐จโ๐ซ Teaching clearlly
- ๐ Analytical Thinking
- ๐ช Growth In Unstable Conditions
- ๐ CS50โs Introduction to Databases with SQL โ Harvard (2025)-Final Score: 100% โ SQLite, Indexing, Transactions, Optimization
- ๐ CS50โs Programming with Python โ Harvard (2025)-Final Score: 100% โ Python Basics, OOP, File I/O, Libraries, Unit Testing, Regex
- ๐ Scratch Programming Certificate (2025)-Final Score: 100% โ Interactive Games, Animations, Basic Programming Concepts
- ๐ Kaggle Intermediate Machine Learning (2025)-Final Score: 100% โ Missing Values, Pipelines, Cross-Validation, XGBoost
- ๐ Kaggle Intro to Machine Learning (2025)-Final Score: 100% โ Decision Trees, Random Forests, Basic Feature Engineering
- ๐ Kaggle intro to Deep Learning (2026)-Final Score: 100% - NN, Overfitting & Underfitting, Dropout, Early Stopping, TensorFlow
- ๐ Kaggle Machine Learning Explanability (2026)-Final Score: 100% โ Model Interpretability, SHAP Values, Permutation Importance
- ๐ IBM Python for Data Science (2025)-Final Score: 96% โ Data Analysis, Pandas, Numpy, Visualization, APIs
- ๐ IBM Machine Learning with Python (2025)-Final Score: 100% โ Regression, Classification, Clustering, Scikit-Learn
- ๐ IBM Deep Learning with TensorFlow (2026)-Final Score: 95% - TensorFlow, NN, CNNs, RNNs, RBMs, Autoecoders
- ๐ IBM Data Visualization with Python (2025)-Final Score: 80% โ Matplotlib, Seaborn, Plotly, Data Analysis, Dashboards
- ๐ IBM Data Analysis with Python (2025)-Final Score: 93% โ Pandas, Numpy, Matplotlib, Seaborn, Data Cleaning & Visualization
I collaborated with CS50X PERSIAN, Harvard University's official team for Persian speakers, to package several of their courses to help Persian speakers take this course more easily.
You can see all my Blog's on my Substack acount and a summary of my Blog's on my Blog's repo:
You can see all my Dataset's on my Kaggle acount and a summary of my Dataset's on my Datasets repo:
You can see my Guides here, I make guide about things I lean, and then I write them very simple and short:
- My Guides repo
- Thing's my guides are about them:
- โ๏ธ Email: borna.etminan34@gmail.com
- โ๏ธ X acount: https://x.com/BornaEtminan
- โ๏ธ Kaggle username: https://www.kaggle.com/bornaetminan
- ๐ Blog on Substack: https://substack.com/@bornaetminan
โญ๏ธ If you find my projects interesting, feel free to star or follow!โญ๏ธ