Hi, I'm Baran! 👋

I'm a data scientist working at the intersection of data engineering and real-world problem-solving. I'm passionate about leveraging technology to drive innovation and deliver meaningful solutions, particularly in data science and advanced analytics.

A recent graduate with a Master's in Big Data and Business Intelligence, while working on building scalable data pipelines and real-time analytics systems. Previously, I worked as a data analyst at MARSUS, resolving critical challenges and introducing effective data processes, and developed a real-time data prediction system as part of my academic research.

Beyond tech, I'm passionate about data science, machine learning, and exploring innovative ideas to build sustainable, data-driven businesses.

Machine Learning

Deep Learning & AI Models

Data Analysis

Data Analysis & Visualization

Deep Learning

Computer Vision & AI

Computer Vision

Image Processing & Computer Vision

NLP

Natural Language Processing

Resume

Education

University of Greenwich, London

MSc in Big Data and Business Intelligence

2023 – 2024

Specialized in: Deep Learning, Natural Language Processing (NLP), Computer Vision, Machine Learning, Database Management, Data Visualization and Business Analysis.
Final Project: Developed a machine learning CNN model to identify and classify lung cancer types at early stages, achieving an overall accuracy of 95%.
Successfully tackled data preprocessing, feature engineering, and model training using TF IDF vectorization and a Logistic Regression for text classification task.
Developed a text classification model using TfidfVectorizer and an MLP classifier. Applied PCA for dimensionality reduction and incorporated class weights to improve test for unbalanced texts while maintaining high precision and accuracy.

Piri Reis University, Istanbul

BSc in Management Information Systems

2016-2021

Specialized in: Finance, Economics, Business Management, Marketing, Accounting, Big Data, E-commerce, and Web Design. Advanced computer skills, integrating technical solutions with business strategies.
Final Project: Designed CNN-based system in Python to automatically detect defects such as tears, stains or irregular patterns in fabric products. Focused on building a robust and efficient solution to enhance quality control in textile manufacturing.

Professional Experience

MARSUS, London, UK

Data Analyst

02/2024 – 09/2024

Analysed large datasets to uncover trends, patterns and actionable insights
Collaborated with international teams to gather data requirements and ensure data accuracy and integrity
Presented clear and concise insights to website owners transforming complex data into actionable recommendations

REGNUM SOLICITORS, London, UK

IT Support & Digitalization Specialist

2022 – 2024

Digitized and organized physical legal files by scanning and securely storing them in a digital database
Provided IT support for the deployment and maintenance of the digital document storage solution