“Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.” -Diane Ackerman

About Me

I am Aslı Kök. I have graduated from Computer Engineering department in Turkey and I am currently working as a Python/Machine Learning Developer.

Programming Languages

  • Python
  • Matlab
  • C/C++

Sector Knowledge

  • Machine Learning
  • Deep Learning
  • Computer Vision

IDEs

  • Visual Studio
  • PyCharm

Text Editors

  • Visual Studio Code
  • Atom

Frameworks

  • Django REST Framework

Databases

  • MySQL
  • MSSQL
  • Oracle

My GitHub Account

You should check my GitHub out!

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Portfolio

Information about some of my projects

Cost and Time Estimation Software

Developing a Cost and Time Estimation Software for SME's which are in manufacturing industry to accelerate the bidding process.

  • Preprocessing Steps: Encoding categorical data, normalizing numerical data, extracting conflicting data by using kd-tree, etc.
  • Used Methods: Regression methods(Ensemble Methods such as XGBoost, Gradient Boosting, Random Forest, etc.)
  • For Improving: Boostrapping methods.

SaaS Website

Developing a SaaS Website for my current company's production by using Python/Django REST Framework.

  • Creating a panel and profile for every users.
  • Adding information and features panel.
  • Optimizing the dynamic forms
  • Creating panel for users to create models and trainings
  • Creating user-specific graphs.

Multi-Focus Image Fusion

Getting 'all-in-focus' images by using Multi-focus Image Fusion techniques.

  • Researching papers selecting the best approach(Amin-Naji)
  • Collecting same images that has different focus point.
  • Application of low pass filter and shifting.
  • Conversion to DCT domain.
  • Calculation of correlation coefficient.
  • Selecting the image block that is focused.
  • Application and interface development on Matlab and tests.

Cyberbullying Detection

Creating a training model for Cyberbullying Detection using positive and negative Youtube comments as dataset.

  • Tagging the data to be positive if the positive value is 1 and negative if the positive value is 0.
  • Data preprocessing such as tokenizing, removing stopwords, numbers and special characters
  • Creating word vectors by using TF, TF-IDF,Binary Weighting methods
  • Using SVM, Multinomial Naive Bayes and Random Forest classifiers for training.

Monitoring Water Resources

Processing of remote sensed optical images for monitoring water resources

  • Collecting satellite imagery of the Chad Lake from Sentinel-2.
  • To analyze Index Methods(NDWI, MNDWI, NDPI, AWEI), Snake Algorithm, Active Contour.
  • Labeling with water, land, wet zone by our own hands.
  • Testing all methotlads for the Tchad Lake.
  • Writing a paper.

Music Recommendation System

Developing a music recommendation application by using Last FM dataset.

  • Data pre-processing steps before creating the recommendation system.
  • Creating the recommendation system.
  • Using the K-Nearest neighbor algorithm and Cosine Similarity as the metric.
  • Fuzzy logic integration against the possibility of entering wrong of singer names.

Contact Me

Email Me

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Cankaya, Ankara, TURKEY

Email: imgeaslikok@gmail.com