Aiden Ahmet Erdogan

Data Scientist at CRED
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin, Berlin, Germany, DE

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Yunus Turgut

We’ve joined our hands on several projects, and Aiden is one of the best people I had as a partner. I highly recommend his expertise to any person looking for a Data Scientist, Machine Learning Engineer, or NLP Specialist. He is the most profound person I have met, and his ability to tackle any problem is remarkable and with positive vibes. He understands problems and business requirements easily and implements his solutions rapidly. Aiden would become an appreciated member of any team.

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Credentials

  • Artificial Intelligence Foundations: Machine Learning
    LinkedIn
    Aug, 2022
    - Nov, 2024
  • Artificial Intelligence Foundations: Thinking Machines
    LinkedIn
    Aug, 2022
    - Nov, 2024
  • Deep Learning: Getting Started
    LinkedIn
    Aug, 2022
    - Nov, 2024
  • Machine Learning with Python: Foundations
    LinkedIn
    Aug, 2022
    - Nov, 2024
  • Machine Learning ML Days Study Jam
    Global AI Hub
    May, 2020
    - Nov, 2024
  • Data Analysis Training with R Programming Language
    TÜBİTAK
    Feb, 2017
    - Nov, 2024
  • Future Engineers Compete Their Designs
    Kariyer.net
    Jun, 2019
    - Nov, 2024
  • Cyber Security and Innovation Conference
    FEBİTEK
    Mar, 2017
    - Nov, 2024
  • Visualization Techniques with R Programming
    TÜBİTAK
    Jan, 2017
    - Nov, 2024

Experience

  • CRED
    • United Kingdom
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Data Scientist
      • Apr 2023 - Present

      Developing matching, personalized Machine Learning models on massive datasets to improve company Data Quality and help company sales. Developing matching, personalized Machine Learning models on massive datasets to improve company Data Quality and help company sales.

  • freelance
    • Belgium
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Jan 2023 - Present

      Developing matching, personalized recommender systems, time-series forecasting, and classification Machine Learning models to improve company sales. Developing matching, personalized recommender systems, time-series forecasting, and classification Machine Learning models to improve company sales.

  • DeFacto
    • Türkiye
    • Retail
    • 700 & Above Employee
    • Data Science Specialist
      • Sep 2021 - Dec 2022

      Responsible for the real-time data stream, conducting and documenting department-store level, sales/demand forecast, and stock processes by ML models to provide for next seasons and financial year which would be used to meet the staffing requirements by the DeFacto. ▪ Enhanced a prediction model using Linear Regression to estimate stock values with region sales history for new stores, and improved the model success by XGBoost. ▪ Created new 375 clothing combinations to increase sales 15% by analyzing data and creating the K-Means Clustering model on Google Cloud Platform and Python. ▪ Developed an ETL pipeline to extract data from HDFS/Local DB/GCP and clean, merge data, segment costumer to 120 types, and load to Elastic Search Cluster and Kafka CRM integration system using PySpark in JupyterHub. ▪ Developing a Machine Translation model to make a true translation from Eng. to any language on global DeFacto websites. Show less

  • Zack.ai
    • Türkiye
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jan 2021 - Aug 2021

      ▪ Promoted accuracy 20% more than the historical average to forecast weekly sales of 10,000 products, using product characteristics with Fine-Tuning XGBoost model. ▪ Decreased CRF-based NLP model response from 10+ seconds to under 3 seconds by changing functions to recursive functions using Python. ▪ Applied Bert transformer ML technique to develop auto labeling NLP model accuracy from %65 to %85+ using TensorFlow in Python. ▪ Promoted accuracy 20% more than the historical average to forecast weekly sales of 10,000 products, using product characteristics with Fine-Tuning XGBoost model. ▪ Decreased CRF-based NLP model response from 10+ seconds to under 3 seconds by changing functions to recursive functions using Python. ▪ Applied Bert transformer ML technique to develop auto labeling NLP model accuracy from %65 to %85+ using TensorFlow in Python.

  • DeepSearch Analytics Ltd.
    • London, England, United Kingdom (Remote)
    • Data Scientist
      • Jul 2020 - Dec 2020

      ▪ Performed various data visualization, data cleaning, and feature selection on 1 TB text by Pandas and NLTK packages by defining patterns using Python on PyCharm. ▪ Produced statistical modelings such as Text Analytics, social network analysis, and Natural Language Processing on 7 GB CSV data using Python. ▪ Performed various data visualization, data cleaning, and feature selection on 1 TB text by Pandas and NLTK packages by defining patterns using Python on PyCharm. ▪ Produced statistical modelings such as Text Analytics, social network analysis, and Natural Language Processing on 7 GB CSV data using Python.

  • IndiaNIC Infotech Limited
    • India
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Scientist
      • Jan 2020 - Jun 2020

      ▪ Applied Light GBM method to decrease MAPE from 10% to under 5% forDemand Forecasting using Machine Learning with Python. ▪ Improved F1 Score to >0.9 by feature selecting and Naive Bayes instead of Linear Regression for sentiment analysis on 20 GB of unstructured data. ▪ Collaborated with an agile team to implement the ETL and optimized 575 SQL queries to perform data extraction. ▪ Applied Light GBM method to decrease MAPE from 10% to under 5% forDemand Forecasting using Machine Learning with Python. ▪ Improved F1 Score to >0.9 by feature selecting and Naive Bayes instead of Linear Regression for sentiment analysis on 20 GB of unstructured data. ▪ Collaborated with an agile team to implement the ETL and optimized 575 SQL queries to perform data extraction.

  • Boraq Solutions
    • Saudi Arabia
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Junior Software Engineer
      • Jul 2018 - Jan 2020

      ▪ Saved 5x2 daily source by developing a collaborative product to split daily action data to the BA team using SQL and Python. ▪ Performed sentiment analysis to surface reviews most likely to be relevant to a given user to increase sales by 6% using Pandas and Scikit-Learn on Python. ▪ Improved Company Secretary coaching and 26% fewer customer complaints. ▪ Saved 5x2 daily source by developing a collaborative product to split daily action data to the BA team using SQL and Python. ▪ Performed sentiment analysis to surface reviews most likely to be relevant to a given user to increase sales by 6% using Pandas and Scikit-Learn on Python. ▪ Improved Company Secretary coaching and 26% fewer customer complaints.

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