My Skills

Languages

  • Python
  • R
  • C++
  • JavaScript

IDE

  • Jetbrains IntelliJ IDEA
  • Jetbrains PyCharm
  • Microsoft Visual Studio Code
  • Anaconda Navigator

Data Science Libraries

  • Data Manipulation: numpy, pandas, dplyr
  • Data Visualisation: matplotlib, seaborn, plotly, networkx, ggplot2
  • Explainable AI: SP_LIME, LIME, PFI, SHAP
  • Quantitative Finance: ta, stock_indicators
  • Imbalanced Dataset: imblearn
  • Web Scraping: bs4
  • Machine Learning: scikit-learn, statsmodels
  • Deep Learning: TensorFlow, Keras

Machine Learning

Regression Algorithms

  • Linear Regression
  • Polynomial Regression
  • Ridge & Lasso

Classification Algorithms

  • Logistic Regression
  • K-Nearest Neighbor
  • Support Vector Machines
  • Decision Trees
  • Naive Bayes

Unsupervised Learning Algorithms

  • K-Means Clustering
  • Hierarchical Clustering
  • PCA

Ensemble Learning Algorithms: Regression and Classification

  • Bagging: Random Forest
  • Boosting: Gradient Boost, AdaBoost, XGBoost
  • Stacking

Deep Learning

CNN, RNN and LSTM

NLP: Basic experience about Sentiment Analysis using NLTK and VADER

Databases and Cloud Platforms

  • SQL
  • Google Cloud Platform
  • Hadoop
  • PySpark
  • Snowflake
  • Postgres