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EdaCelikeloglu/README.md

Eda Çelikeloğlu – Data Scientist|Data Analyst

Hi, I'm Eda!
Passionate about data science, eager to grow my expertise in machine learning and deep learning through hands-on projects, competitions, and real-world applications.

Technical Skills

  • Python & Data Analysis: Pandas, NumPy
  • Visualization: Matplotlib, Seaborn, Plotly
  • ML & DL Libraries: Scikit-Learn, TensorFlow, PyTorch
  • App Development: Streamlit
  • Time Series & Modeling: SARIMAX, regression techniques

Featured Projects & Competitions

  • 🏆 Women in Datathon – 1st Place (2024)
    Built multiple linear regression models to analyze gender wage gaps through health, labor participation, and political representation.
    Presentation video:
    1st Place Presentation – Women in Datathon

  • 🥉 AI for Life Sciences 2 – 3rd Place (2024)
    Predicted groundwater levels using deep learning models and identified external predictors such as weather and precipitation.
    Presentation video:
    3rd Place Presentation – AI for Life Sciences 2

  • Churninator – Customer Churn Prediction
    Predicted credit card customer churn with a 92% recall rate.
    Streamlit app: Churninator

  • Sahibinden.com Internship Project (2025)
    Modeled the relationship between weather conditions and digital engagement using SARIMAX time series forecasting.

  • YenidenBiz Volunteer Work (2025)
    Contributed to data analysis projects supporting women returning to the workforce.

Certifications

  • İstanbul Kodluyor – Data Science Expertise
  • Turkcell Geleceği Yazanlar – Deep Learning
  • Miuul – Time Series Analysis
  • Cisco – Data Analytics Essentials
  • BTK Academy – Applied Microsoft Power BI

Goals

  • Advance in deep learning and natural language processing (NLP)
  • Explore big data technologies such as Spark and Hadoop
  • Contribute to open-source projects and the data science community

Contact

Pinned Loading

  1. gizemoge/AI_4_Life_Sciences_Hackathon2_Task1 gizemoge/AI_4_Life_Sciences_Hackathon2_Task1 Public

    Placed third 🥉— forecasts groundwater levels in Austria for a 2-year period using data from 487 measurement stations, thousands of CSV files, and 11 variables categorized under four headings: groun…

    Python 3

  2. dilaracankaya/AI_4_Life_Sciences_Hackathon2_Task2 dilaracankaya/AI_4_Life_Sciences_Hackathon2_Task2 Public

    Placed third 🥉

    Python 2

  3. gizemoge/Women-in-Datathon-2024 gizemoge/Women-in-Datathon-2024 Public

    Placed first 🥇 — predicts gender wage gap via multiple linear regression using impact of health, labor force participation, gender roles, and political representation.

    Python 3

  4. youtube-ai-scraping-agent youtube-ai-scraping-agent Public

    Given a YouTube URL of a song, the system identifies the artist, discovers the artist’s first studio album, scrapes lyrics for each song from Genius, and produces structured analytical outputs.

    Python 1

  5. Churninator Churninator Public

    İstanbul Kodluyor Data Science bootcamp finishing project: predicts credit card customer churn rate with 92% recall rate.

    Python 2

  6. Physical_Therapy_Data_Analysis_Project Physical_Therapy_Data_Analysis_Project Public

    Bu repo; ham klinik kayıt tablosunu temizleyen, normalize eden, eksikleri KNN ile dolduran, özellik türeten ve sonuçta modellemeye hazır bir veri seti üreten uçtan uca bir Python pipeline’ı içerir.…

    Python 1