I'M
Dogu can elcı.
Data Engineer/Scientist
AI Lover
DE
I'm an experienced Data Engineer with 2 years of experience in Data Science, both in business and academia. I have a strong knowledge of AI solutions, particularly ML/DL algorithms. Currently, I've been working as a Data Engineer for 8 months in the Huawei AppGallery Analysis Project, where I'm actively involved in big data analysis, ETL solutions, and the overall data engineering process. I'm dedicated to staying updated with the latest data-related techniques and technologies to contribute value to the projects and companies I work with.
01 PROFESSIONAL
MY KNOWLEDGE IN MY FIELD
Python
SQL/HiveQL
PySpark
Hadoop (hdfs / yarn)
Azure Cloud Service
Data Lake
Data Warehouse Structure
Airflow
git
Linux
Tableau
Jira
DL/ML
02 MY PROJECTS
Can Neural Networks learn specific grammatical features of languages?
Do YouTube videos reveal whether they will be trending with their Data?
Can Solar Energy potential be estimated with Data?
When customers order a product, do they indicate that they will actually return that product?
Is Market stock forecasting no longer a mystery with Deep Learning?
Is NLP really successful to predict sentiment of tweets ?
KPI Dashboard Project
03 Experience
Feb 2023 -
Huawei
Data Engineer
Within the scope of Huawei AppGallery Analysis Project,
I provided valuable insights to stakeholders with all Data Engineering solutions by taking part in big data analysis, ETL solutions, design, development and deployment processes.
Jan 2019 - July 2019
2021-2022
Ambeent Inc.
Data Scientist
Data Science solutions for Internet Users
Invent Analytics
Data Scientist
Produce Retail Forecasting, Allocation and Replenishment Solutions with Data Science to big companies
2019-2020
ITU Natural Language Processing Research Group
Data Science Intern
-Build a test program to validation of NLP tools to compare current output and desired output texts using JUnit module and Selenium library in Java
-Data Collecting for Turkish Sign Language to Turkish converting Project by using Web Scraping frameworks
Jan 2019 - July 2019
Brain And SIgnal Research & Analysis
Data Science Intern
-Recoding of NAGFS Feature Selection method Matplot script to Python with using different libraries
-Building austistic-normal brain data classification model using SVM via scikit-learn framework; validation, testing and reporting the model to determine and display model performance
