Alperen Yıldırım

Data Science Lead at Fugo Games
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Location
Istanbul, Turkey, TR

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Credentials

  • Deep Learning A-Z™: Hands-On Artificial Neural Networks
    Udemy
    Jul, 2020
    - Sep, 2024

Experience

    • Türkiye
    • Software Development
    • 1 - 100 Employee
    • Data Science Lead
      • Mar 2023 - Present

    • Senior Data Scientist
      • Dec 2022 - Mar 2023

    • Data Scientist
      • Jul 2021 - Dec 2022

    • Information Technology & Services
    • 100 - 200 Employee
    • Data Scientist
      • Sep 2020 - Jul 2021

      • Predictive keyboard: Next word prediction model is developed for android and IOS keyboards in order to increase typing efficiency of the users. • Object detection project: Algorithm detects tickets, hand terminals, stations in given pictures. It processes 8K+ images per day. It increased operational excellence from 5% to 90%. Yolo v4 is used (tiny yolo model trained in order to speed up on CPU). Data augmentation applied to increases success of the algorithm in different scenarios (light, angle, background...). Automating using airflow. Mean average precision (map): 81%. Recall was 91% for official ticket. • Next event prediction project: BERT (A type of Transformer architecture) next word prediction model created in order to predict next event using given sequence. Events and sequences are created using NLP techniques. It is used by marketing department in a simulation to understand users next events after a campaign or a series of events deployed. • Customer state classification: Customers are classified based on their previous events. In order to label sequences Sentiment Analysis techniques used. (Labels are campaign accept, campaign decline, churn, complaint, neutral, down-sell, up-sell). The model used by marketing department to understand effects of the deployed campaigns and new packages. • Churn prediction: Telco data are used to predict churn. Classification algorithms used but the most effective algorithm was special type of stacking algorithm. Accuracy was 75%, precision was 74% and recall was 76%, f1 was 74%. • Telco AI use cases research: Following projects and ideas are based on this research. It took 3 weeks. It contains AI use cases in Telco. This research was extensively used in the telco company. Show less

    • Türkiye
    • Banking
    • 700 & Above Employee
    • Jr. Data Scientist & Product Owner
      • Dec 2019 - Sep 2020

      • Preparing & using models for churn. Models are prepared on SAS, by using an stacked model of decision tree, ada boost, random forest and xgboost. Accuracy was 81%, recall was 82%. • Automating reports with Python. (Approximately 1 Full Time Equivalent is earned. ) • Preparing reports with SQL and SAS to monitor monthly performance of products. • Preparing data analysis to understand trends in order to change and generate new campaigns to customer. • Preparing new campaigns by using the results of the analysis to be able to increase customer basis and revenue. (Monthly sales increased by %20 ) • Working with different departments to run campaigns such as IT, Legal, Operations, Digital Sales etc. Show less

    • Türkiye
    • Manufacturing
    • 700 & Above Employee
    • Digital Transformation Analyst
      • Jul 2019 - Dec 2019

      • Preparing RFP documents for Digital Transformation Projects • Preparing project road maps • Preparing Business Analysis for RPA, PIM and IoT projects. • Working in digital transformation of Procurement, HR, Finance, Sales, Customer Services, E-Commerce etc. departments in various companies under YILDIZ Holding such as pladis, Kerevitaş, İstegelsin etc. • Implementing new-tech solutions to business problems • Working with various Start-ups to deliver solutions. • Preparing RFP documents for Digital Transformation Projects • Preparing project road maps • Preparing Business Analysis for RPA, PIM and IoT projects. • Working in digital transformation of Procurement, HR, Finance, Sales, Customer Services, E-Commerce etc. departments in various companies under YILDIZ Holding such as pladis, Kerevitaş, İstegelsin etc. • Implementing new-tech solutions to business problems • Working with various Start-ups to deliver solutions.

    • Foreign Trade and Logistics Intern
      • Aug 2018 - Jun 2019

      • Preparing Excel Tools for Foreign Trade Department• Preparing Excel Tools for Logistics Department• Preparing yearly budget of Logistics Department for 2019• Working in digital transformation of Logistics Department• Process Optimization Studies for Logistics Department• Working in SAP process development

    • Production Planning Intern
      • Jun 2018 - Aug 2018

      • Preparing Demand Forecasting Model • Preparing Stock Tracker Reports• Preparing Required Raw Material Calculation Reports for Radioactive Products

    • United States
    • Manufacturing
    • 700 & Above Employee
    • Ceo Challenge Turkey and Caucasus Cluster Finalist
      • Jan 2018 - Jan 2018
    • Argentina
    • Food and Beverage Services
    • 1 - 100 Employee
    • IT Intern
      • Jun 2017 - Jul 2017

Education

  • Boğaziçi Üniversitesi
    Bachelor's degree, Industrial Engineering
    2016 - 2019
  • İstanbul Teknik Üniversitesi
    Bachelor's degree, Industrial Engineering
    2014 - 2016
  • Boğaziçi University
    Master's degree, Computer Engineering
    2021 - 2024

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