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SETOsfk/README.md

Hi, I'm Sertan 👋

Junior Data Scientist at Muğla Sıtkı Koçman University · MSc Statistics (in progress) · Book author · Bioconductor contributor

I build things that turn messy institutional data into decisions people actually use — data dictionaries, SQL models, and R Shiny applications that go into production rather than into a folder.


What I'm working on

  • Enterprise data platform (MSKÜ) — Project lead for a university-wide platform: data dictionary → SQL data model → automated reporting dashboard for every academic and administrative unit.
  • MSc thesis — Brain tumour detection with image processing and deep learning.
  • MSstatsQC — Contributing to the Bioconductor package for QC of mass-spectrometry proteomics: integrating a new statistical method and the recently published MSstatsQC-ML supervised learning approach.

Selected work

Project What it is
student-clustering-dashboard LEANCLUST — R/Shiny dashboard clustering students weekly via DTW + Ward.D2 to surface at-risk learners. Paper under review at Journal of Learning Analytics (first author).
netflix-prize-data-analysis Recommender system over 100M+ ratings. 0.81 RMSE in 300 seconds — better than the 0.8567 that won the original Netflix Prize.
wineapp End-to-end MLOps: predicting Bordeaux wine scores from text reviews, deployed as a live Shiny app.
R R for Everyone — an open collection of worked examples covering R packages, statistical methods, and ML workflows.
bordeaux_wine Analysis of chemical and sensory drivers of wine quality.

Publications

📕 Gürünlü Alma, Ö., Şafak, S., & Özyurt, U. (2026). Machine Learning Based Missing Value, Outlier and Dimensionality Reduction Methods — With R Applications. Nobel Academic Publishing. ISBN 978-625-386-811-6

📄 Şafak, S., Adnan, M., Doğu, E., & Akhanlı, S. E. LEANCLUST: Improving Instructional Decision-Making via Longitudinal Analytics and Dynamic Student Profiling. Journal of Learning Analytics — under review.


Toolbox

Languages R · Python · SQL · PL/SQL · Java · C

BI & Viz Power BI · Tableau · R Shiny · Oracle Data Integrator

ML Classification · Clustering · Dimensionality reduction · Imputation · Recommender systems · Image processing

Stats SPSS · Minitab · Jamovi · EViews · Weka


Reach me

LinkedIn · setosfk@outlook.com · Muğla, Türkiye

Pinned Loading

  1. bordeaux_wine bordeaux_wine Public

    Data analysis of Bordeaux wines using chemical and sensory attributes. Includes preprocessing, exploratory analysis, and modeling to identify key factors influencing wine quality and classification.

    R

  2. R R Public

    A curated collection of R scripts and projects covering data analysis, visualization, statistical modeling, and machine learning. Built for academic, research, and portfolio purposes.

    R

  3. wineapp wineapp Public

    An interactive Shiny web app for exploring wine quality data. Includes dynamic visualizations, filtering by chemical properties, and statistical summaries to help users understand factors affecting…

    Python

  4. netflix-prize-data-analysis netflix-prize-data-analysis Public

    Exploratory analysis, preprocessing, and collaborative filtering on the Netflix Prize dataset (100M+ ratings). Includes memory optimization, rating pattern insights, and a large-scale recommendatio…

    Jupyter Notebook

  5. MSstatsQC MSstatsQC Public

    Forked from eralpdogu/MSstatsQC

    A Bioconductor/R package for longitudinal system suitability monitoring and quality control for proteomic experiments

    R

  6. student-clustering-dashboard student-clustering-dashboard Public

    Interactive R/Shiny dashboard for weekly student clustering using DTW and Ward.D2.

    R