Skip to content
View AhmetZamanis's full-sized avatar
Block or Report

Block or report AhmetZamanis

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AhmetZamanis/README.md

I am a freelance data scientist, constantly working to improve my skills and learn new methods. I use Python and R for my work, mainly through RStudio and Jupyter. I am especially focused on working with time series data.

I became interested in data science and machine learning during my MSc studies in International Management, at Bocconi University. After working as a business analyst in niche consulting startups, I decided to focus on developing my skills as a data scientist.

You can view my freelancer profile and hire me on Upwork. I am in the top 10% of freelancers in terms of job success.

You can view a portfolio of my personal projects on my Github page.

Kaggle profile

LinkedIn profile

Pinned

  1. ahmetzamanis.github.io ahmetzamanis.github.io Public

    Forked from evanca/quick-portfolio

    Portfolio of my data science projects & reports.

    HTML

  2. DeepLearningEnergyForecasting DeepLearningEnergyForecasting Public

    Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning.

    Jupyter Notebook

  3. WeatherAnomalyDetectionClassification WeatherAnomalyDetectionClassification Public

    Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

    Python 3

  4. UsedCarKicksClassification UsedCarKicksClassification Public

    Imbalanced classification with scikit-learn and PyTorch Lightning.

    Python 1

  5. KaggleStoreSales KaggleStoreSales Public

    Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.

    Python

  6. Kaggle-House-Prices-Regression-FeatureEng Kaggle-House-Prices-Regression-FeatureEng Public

    Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.