I am Aleks Mashanski, a Documentation Developer who is interested in the framework of Cybersecurity. I also have an experience in Coding Practice Challenges and Artificial Intelligence field.
A lot of my repositories & pet projects represented here, from my school days when I tried Java and C languages to nowadays, where mostly of my projects are related with Python and Data Science in general. I'm in relations with High Math since my secondary school. And I really like the fact that things like Mathematics, Combinatorics, Statistics & Probability Theory can be combined with Programming and generate an interesting result!
In addition, I’m interested in the mathematical aspects of Cryptography, various Cryptographyc Algorithms & Methods. I'm trying to do experiments on the application of Cryptographic Techniques in my projects, such as cryptopyth.
- Programming languages: Python, SQL
- Technology stack: Linux, Docker, Git, MadCap Flare
- Soft Skills: Educability, Time Management, Self-motivation, Communication
- Languages: English, Polish, Russian, Georgian
My skills in Data Science and AI
- Machine Learning algorithms: Linear & Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors (KNN), Gradient Boosting, Naive Bayes classifier
- Machine Learning libraries: NumPy, Pandas, Scikit-Learn, Xgboost, LightAutoML, Vowpal Wabbit
- Deep Learning libraries: Pytorch, Keras, OpenCV
- Visialisation libraries: Matplotlib, Seaborn
- Industry Knowledge: Data Preparation, Feature Engineering & Selection, Time Series Analysis, PCA, Word2vec
- Neural Network architecture knowledge: CNN, RNN (LSTM), VAE, DNN, GAN
function logSomething(something) {
console.log('Something', something);
}- Contributing to my Password Manager project
- Gaining basic knowledge of the Networks
- Crunching Codewars
- Open Source projects related to Python coding
- Cybersecurity challenges
- Linkedin: https://www.linkedin.com/in/maszanski/
- Website: https://mashanski.com
- Kaggle: https://www.kaggle.com/alexmaszanski
- Mail: [email protected]
- Twitter: https://twitter.com/maszanski
Most of my articles focus on the realm of Data science, especially Machine Learning methods & algorithms.
- How does a robot plan a path using RRT? (translation)
- How to become a Data Engineer in 2021?
- The k-nearest neighbors (KNN) algorithm
- Random Forest algorithm
- Feature Engineering & Selection. Part 1
- Feature Engineering & Selection. Part 2
- Kaggle for beginners. Part 1: Overview
- Kaggle for beginners. Part 2: House Prices
- Naive Bayes classifier
- Gradient Boosting algorithm
- Reinforcement Learning
- NFT & Cryptopunks: NN for generating images
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent