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Уверенный пользователь сети Интернет
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Уверенный пользователь сети Интернет
2 followers · 4 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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moncervers/README.md

Hi there, my name is Savva

Data Scientist | Machine Learning Engineer

Current Focus

  • Building predictive models for time series forecasting
  • Learning big data workflows with distributed systems
  • Exploring computer vision applications with PyTorch

Education

Bachelor's in Intelligent Systems for Data Analysis
NUST MISIS | Expected 2026

Tech Stack

GitPython
SciPyProphet
Apache SparkApache HadoopMLlib
JupyterPandasNumPy
MatplotlibSeabornSHAP
scikit-learnPyTorchOptuna

Skills

Category Details
Time Series Analysis Forecasting, trend/seasonality decomposition, lag features, rolling statistics, TimeSeriesSplit
Data Engineering Feature engineering, pipeline automation, distributed computing (Spark), data resampling
Modeling Regression, classification, ensemble methods (CatBoost), neural networks, Prophet, hyperparameter optimization
Model Interpretation SHAP values, feature importance analysis, partial dependence plots
Visualization Matplotlib, Seaborn, SHAP, time series decomposition plots
Tools & Methodologies Git, SQL, Jupyter, MLlib, Apache Spark, Optuna, cross-validation for time series

Let's Connect

📧 [email protected]

📱 Telegram

GitHub Stats

Streak

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  1. california_real_estate california_real_estate Public

    Study project for real estate price prediction in California using Spark DataFrame API and MLlib

    Jupyter Notebook

  2. comments_tonal_analysis comments_tonal_analysis Public

    NLP project to detect toxic comments in a wiki-like e-commerce platform. Compares TF-IDF and BERT embeddings for text classification using Logistic Regression and LightGBM. Achieves F1=0.93 with BE…

    Jupyter Notebook

  3. car_accident_prediction car_accident_prediction Public

    A machine learning-based system for assessing the risk of traffic accidents along a selected route. The system predicts the probability of driver fault in an accident using features such as weather…

    Jupyter Notebook

  4. taxi_orders_prediction taxi_orders_prediction Public

    Time series forecasting model predicting taxi orders at airports for the next hour using CatBoost. Achieved RMSE of 36, enabling optimized driver allocation during peak periods through analysis of …

    Jupyter Notebook

  5. hotel_review_score_prediction hotel_review_score_prediction Public

    2nd place in Kaggle competition | ML model to predict hotel ratings using text reviews and metadata. MAPE: 10.751% | Key features: LightGBM, NLP embeddings (all-MiniLM-L6-v2), structured feature en…

    Jupyter Notebook

  6. purchase_prediction purchase_prediction Public

    Predicts customer purchase likelihood within 90 days using CatBoost. Analyzes purchase history, email interactions, and behavioral data to optimize targeted marketing campaigns. Achieves ROC AUC up…

    Jupyter Notebook