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onder-akkaya/README.md

Önder Akkaya

Trainee Actuary | BSc. Statistics @ Hacettepe | Volunteer & Member @ Turkish Statistical Association

📍Çankaya, Ankara, Türkiye

LinkedIn · Email


About

I am a statistician and data scientist in training, with a broad focus on data science, data visualization, business intelligence and high-performance computing. Currently working on and looking to collaborate in such projects.

🏃 Offline: I'm a runner (PB 2:17 Half-Marathon), have a keen interest in photography (@onder.chroma) and arts.

Most Used Languages

R  Python  Julia  Quarto  SAS


Technical Specifications 🛠️

Statistics & Data Science📊

  • Python
    • Core: NumPy, SciPy
    • Apple: MLX, CoreMLTools
    • Data: Pandas, Polars
    • Geospatial: GeoPandas, Rasterio, Rasterstats, Fiona
    • Visualization: Matplotlib, Seaborn, Plotly
    • ML/Stats: Scikit-learn, StatsModels, XGBoost, LightGBM, CatBoost, Optuna
    • Deep Learning: TensorFlow, Keras, PyTorch
  • R
    • Core: Tidyverse, data.table
    • Geospatial: sf, terra
    • Visualization: ggplot2, Shiny
    • ML/Stats: caret, tidymodels, xgboost, lme4, nlme
  • SAS (Viya, Studio)
  • Julia
    • Core: DataFrames.jl, CSV.jl
    • Statistics: StatsBase.jl, Distributions.jl, HypothesisTests.jl, GLM.jl, DataFramesMeta.jl
    • Geospatial: ArchGDAL.jl, GeoData.jl
    • Visualization: Plots.jl, Makie.jl
    • ML/Stats: MLJ.jl, Flux.jl
  • Databases: SQL, PostgreSQL, PostGIS

High-Performance Computing💻 · C/C++ · CUDA · MPS (Metal Performance Shaders) · OpenMP · MPI · Slurm

Data Visualization & Business Intelligence📈 · Tableau · Power BI

Scientific Writing📝 · Quarto · LaTeX · Markdown · RMarkdown

Workflow & Tools🔧 · Git/GitHub · Jupyter · Google Colab · VS Code

Design🖌️ · Adobe Creative Cloud · Canva



⚖️ Legal Disclaimer & Trademark Notice / Yasal Uyarı (Click to expand)
English (International & US Law Context):
1. Non-Affiliation: Önder Akkaya is not affiliated, associated, authorized, endorsed by, or in any way officially connected with SAS Institute Inc., Posit PBC, JuliaHub Inc., Python Software Foundation, The R Foundation, or any of their subsidiaries or affiliates.
2. Nominative Fair Use: The names, logos, and badges used in this repository are for identification, educational, and portfolio purposes only. Their use falls under the doctrine of "Nominative Fair Use" (15 U.S.C. § 1115(b)(4)) to accurately describe the specific technical skills and tools proficiently utilized by the author.
3. Trademark Ownership:
SAS®: SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.
Quarto®: Quarto and the Quarto logo are trademarks of Posit, PBC.
Julia: Julia is a registered trademark of JuliaHub, Inc.
Python: Python is a registered trademark of the Python Software Foundation.
R: R is a registered trademark of The R Foundation for Statistical Computing.
4. Good Faith: All assets are used in good faith with no intent to infringe on intellectual property rights or cause consumer confusion regarding the source of goods/services.
If you represent a trademark owner and have concerns, please contact via email for immediate resolution.
Türkçe (Türk Hukuku Bağlamı):
1. Dürüst Kullanım (Honest Use): Bu profilde yer alan markalar ve logolar, 6769 sayılı Sınai Mülkiyet Kanunu (SMK) Madde 7/5 uyarınca, kişinin sahip olduğu yetkinlikleri açıklamak ve hizmetin niteliğini belirtmek amacıyla, ticari hayatın dürüstlük ilkelerine uygun olarak (referans amaçlı) kullanılmıştır.
2. İlişkisizlik Beyanı: Önder Akkaya'nın, logoları kullanılan kurumlarla (SAS Institute, Posit, JuliaHub vb.) herhangi bir resmi ticari ortaklığı veya temsilciliği bulunmamaktadır.
İlgili marka sahibini temsil ediyorsanız ve herhangi bir hak ihlali iddianız veya çekinceniz varsa, ivedilikle çözüm sağlanması adına lütfen e-posta yoluyla iletişime geçiniz.

Pinned Loading

  1. QuantaQuartet_ASA-child-labor-data-analysis QuantaQuartet_ASA-child-labor-data-analysis Public

    Forked from TanerYSLY/ASA-child-labor-data-analysis

    Jupyter Notebook

  2. ING-Hubs-Coderspace-Competition ING-Hubs-Coderspace-Competition Public

    📊End-to-end churn prediction model (Polars, XGBoost) for the 2025 ING Datathon.

    Python