Kaya Kiyici

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Ability to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

Currently doing [Data Analytics] course by Google

Python, SQL, Tableau, Excel,SAP

Research Project: Using Machine Learning to Understand, Predict, and Prevent Suicidal Behavior on Social Media (Python)

• The neural networks will be constructed to read text and infer psychological weights across a range of constructs including stress, loneliness, burdensomeness, hopelessness, depression, anxiety, and insomnia.

Detecting Fraudulent Claims for Insurance Company (Python)

• Multiple machine learning algorithms were built such as, Random Forest, AdaBoost, GradientBoost and SVM. SVM were chosen based on performance and accuracy score with 97%.