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Registration: 18.02.2025

İbrahi̇m Sezgi̇n

Specialization: Data Science / Data Analytics / Data Engineering
— I am highly passionate about Data Science and Data Engineering and eager to apply my knowledge in real-world projects. I am particularly excited about working in this field, as I believe that data-driven solutions have a profound impact on decision-making and innovation. — Throughout my academic journey and practical experiences, I have worked with a variety of technologies that strengthen my expertise in this field. I have hands-on experience with Python, SQL, and Machine Learning and have utilized libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data preprocessing, analysis, and modeling. Additionally, I have developed projects involving big data technologies, including Apache Spark, Hadoop, and Kafka, to process and analyze large-scale datasets efficiently. — Currently, I am deepening my knowledge in NoSQL databases (MongoDB, Cassandra, Elasticsearch), as well as workflow automation and orchestration tools like Airflow, Jenkins, Logstash, and NiFi. Furthermore, I am exploring containerization technologies such as Docker and Kubernetes to streamline deployment processes. — Beyond applying these technologies, I am also passionate about sharing my knowledge through academic work and collaborative projects. I strongly believe that continuous learning and collaboration are key to growth in this field. I look forward to contributing my skills and enthusiasm to innovative projects and being part of a team where I can both learn and share my expertise.
Python SQL Git PostgreSQL .NET CRM Docker GitHub Kafka Kubernetes Linux MSSQL MongoDB Selenium Power BI MySQL
— I am highly passionate about Data Science and Data Engineering and eager to apply my knowledge in real-world projects. I am particularly excited about working in this field, as I believe that data-driven solutions have a profound impact on decision-making and innovation. — Throughout my academic journey and practical experiences, I have worked with a variety of technologies that strengthen my expertise in this field. I have hands-on experience with Python, SQL, and Machine Learning and have utilized libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data preprocessing, analysis, and modeling. Additionally, I have developed projects involving big data technologies, including Apache Spark, Hadoop, and Kafka, to process and analyze large-scale datasets efficiently. — Currently, I am deepening my knowledge in NoSQL databases (MongoDB, Cassandra, Elasticsearch), as well as workflow automation and orchestration tools like Airflow, Jenkins, Logstash, and NiFi. Furthermore, I am exploring containerization technologies such as Docker and Kubernetes to streamline deployment processes. — Beyond applying these technologies, I am also passionate about sharing my knowledge through academic work and collaborative projects. I strongly believe that continuous learning and collaboration are key to growth in this field. I look forward to contributing my skills and enthusiasm to innovative projects and being part of a team where I can both learn and share my expertise.
Python SQL Git PostgreSQL .NET CRM Docker GitHub Kafka Kubernetes Linux MSSQL MongoDB Selenium Power BI MySQL

Portfolio

Housing-Price Analysis with Machine Learning

I carried out data collection, data pre-processing, data visualization and modeling processes for real estate listings in the Beylikdüzü region of Istanbul. Technologies Used: Selenium, Numpy, Pandas, Matplotlib, Seaborn, scikit-learn

Customer Churn Prediction

I performed analysis with machine learning techniques in order to prevent customer loss in the telecom industry. Technologies/Techniques Used: Numpy, Pandas, Matplotlib, Seaborn, scikit-learn, Hyperparameter Optimization, Ensemble Learning Methods

Calculator

A calculator application that can both add and remove new users and keep the results in the database was created using ASP.NET MVC. During this internship; Strengthening my technical skills by practicing on the ASP.NET MVC framework, It helped me gain experience in database integration. Technologies/Techniques Used: ASP.NET MVC, C#, Entity Framework, SQL Server, HTML, CSS, JavaScript

Skills

Python
SQL
Data Analysis
Data Visualization
Power BI
MongoDB
Cassandra
Elasticsearch
Airflow
Jenkins
Docker
Kubernetes
Apache Spark
Hadoop
Kafka

Work experience

R&D
08.2024 - 09.2024 |Teracity
Apache Spark
Within the scope of the Future with Data project carried out by TÜRKONFED, Directorate for European Union Affairs, IKG PRO and İŞKUR, I was among the top 20 among 100 trainees in the exam held at the end of the training and won a three-week internship at Teracity. During this period. ● I learned that big data cannot be managed with traditional methods. ● I learned that Apache Spark provides speed and scalability in data processing. ● I learned how to process real-time data and data manipulation techniques with Spark Streaming. ● I gained the ability to develop models on big data with Spark's machine learning libraries.
Software-Test
03.2023 - 05.2023 |Netaş Telecommunication
ASP.NET MVC framework
A calculator application that can both add and remove new users and keep the results in the database was created using ASP.NET MVC. During this internship. ● Strengthening my technical skills by practicing on the ASP.NET MVC framework. ● It helped me gain experience in database integration.

Educational background

Computer Engineering (Masters Degree)
since 2024 - Till the present day
Sakarya University of Applied Sciences
Computer Engineering (Bachelor’s Degree)
2018 - 2024
İstanbul Gelisim University

Languages

TurkishAdvancedEnglishUpper Intermediate