Wrapping up code

... and building expertise in software development & machine learning.

About Me

Software Developer and Data Analyst with more than 10 years of experience in producing data-driven analysis to provide effective inter-governmental solutions. Skilled in web design, data analysis and visualization, with expertise in data munging, regression, classification, neural networks and other inference techniques. Proficient in SQL, Excel, and Tableau.

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Skills

  • Statistics and Visualization: Descriptive, Statistical, Predictive Analytics, Seaborn, Matplotlib, Tableau
  • Programming Languages: Python, Javascript
  • Other Tools, Skills: HTML, CSS, Google Colab, Amazon Web Services (Sagemaker, S3, Amplify), MLOps
  • Database: SQL, Excel, MongoDB
  • Deep Learning: Neural Networks, Computer Vision, Image Recognition
  • Machine Learning: Classification and Regression Algorithms, Statistical Inference, Exploratory Data Analysis, Clustering Techniques, PCA, tSNE, Recommendation Systems, Hyperparameter Tuning, Feature Selection, Scikit-learn, NumPy, Pandas, XGBoost, Performance Monitoring

Select Projects

  1. Shinkansen Travel Experience (XGBoost Model)
    Created a data model that successfully predicted whether a passenger was satisfied or not considering their overall experience of traveling on the Shinkansen Bullet Train, as part of a hackathon. My team ranked 2nd.
  2. Dimensionality Reduction and Segmentation (Techniques: PCA, tSNE, Clustering)
    Explored an Auto-mpg dataset by applying dimensionality reduction techniques and visualizing the data in lower dimensions to extract insights. Also, segmented a bank's customers to help the bank upgrade the service delivery model and ensure that customers' queries are resolved faster.
  3. Recommendation System to Recommend the Best Amazon Products for Users
    Created a recommendation system available to users based on past rating data.
  4. House Prices with Advanced Regression Techniques (Kaggle Project)
    Created a data model that predicted house prices with a score of 0.139 (lower is better).

Education

  • Post Graduate Program in Applied Data Science (12-week program)MIT Online Program
  • Master of Int’l Affairs (Major: Int’l. Finance and Economic Policy)Columbia University, New York
  • BA International RelationsBilkent University, Ankara

Certificates

  • IBM Data Science Specialization – 9 Courses on Coursera (2020)
  • Great Learning Data Science on Cloud with AWS (8-week bootcamp in 2023)

Here are my works

You can find my professional and educational projects here

Contact me

Reach me for your projects or inquiries!

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