Professional Profile
A data scientist based in Gothenburg, currently pursuing a master’s degree in AI Engineering at Jönköping University, set to graduate in 2025. Passionate about turning complex data into real-world solutions, I specialize in AI model development, machine learning, and advanced data analysis. My expertise lies in designing, implementing, and deploying models that drive actionable insights and business impact.
With hands-on experience in computer vision, predictive analytics, and large-scale data processing, I thrive in building scalable AI solutions. I enjoy collaborating with cross-functional teams, bridging the gap between data science and real-world applications. Always eager to learn, innovate, and push boundaries, I’m committed to staying at the forefront of AI advancements.
Harnessing Data for Real-World Impact
I love working on data-driven solutions that actually solve problems. From building AI models that predict failures before they happen to optimizing recommendation engines and fine-tuning sentiment analysis, my focus is on making machine learning practical and impactful.
I’ve tackled the cold-start problem in recommendation systems, ensuring new users get relevant suggestions from day one. I’ve worked on real-time anomaly detection, helping systems catch issues before they escalate. I’ve also improved sentiment analysis models, enabling businesses to truly understand customer feedback—not just collect it. On the backend side, I’ve optimized SQL queries and data pipelines, making large-scale data processing more efficient and seamless.
What excites me the most is making things work better—not just in theory, but in real-world applications. I enjoy the challenge of scaling AI systems, optimizing performance, and ensuring that machine learning models don’t just exist in research papers but actually drive impact.
To me, data isn’t just numbers and models—it’s a tool to enhance experiences, prevent problems, and build smarter systems. That’s what keeps me motivated.
Previous Workplaces
Work Experience
Documented experience as a Data Scientist, with successful contributions and results in various areas of data analysis and AI solutions.
AI Integration Specialist
Webfixer - Part-time
2024 - Present
Gothenburg, Sweden
In my role as an AI Integration Specialist at Webfixer, a web agency focused on marketing and website development, I am responsible for integrating artificial intelligence solutions into B2B clients’ websites and systems. Working part-time while studying, I analyze client needs and customize AI tools to enhance user experience, streamline operations, and optimize marketing strategies. My contributions help businesses leverage AI technologies to improve efficiency and drive growth, ensuring that they stay competitive in a rapidly evolving digital landscape.
Data Scientist
Hepsiburada - Full-time
2022-2024
Istanbul, Turkey
At Hepsiburada, I worked on improving the recommendation system and solving the cold-start problem for new users. Later, I enhanced the NLP model that analyzes customer reviews using data from this system to improve customer experience.
-Accelerated recommendation delivery for new users.
-Increased customer satisfaction with personalized recommendations.
-Optimized big data processing to enhance the recommendation engine’s performance.
Following this, I contributed to the Customer Sentiment Analysis Model Update project:
-Improved customer complaint management, making it faster and more efficient.
-Enabled the customer service team to respond to critical feedback more quickly.
-Enhanced the model’s ability to detect negative feedback during campaign periods.
Technologies Used
-Machine Learning & Deep Learning: ALS (Alternating Least Squares), Neural Collaborative Filtering (NCF), Transformers
–Big Data Processing: Apache Spark, Databricks
-Cloud & Infrastructure: Azure, Kubernetes
-Database & Storage: Snowflake, PostgreSQL
-Deployment & Monitoring: MLflow, FastAPI, Docker
Customer Sentiment Analysis Model Update
-Natural Language Processing (NLP): BERT, LSTM, Hugging Face Transformers
–Data Processing: Pandas, NLTK, SpaCy
–Big Data: Snowflake, Apache Spark
-Cloud & Infrastructure: Azure, Kubernetes
-Deployment & Monitoring: FastAPI, Docker, Grafana
Data Scientist
Vodafone - Full-time
2022-2022
Istanbul, Turkey
At Vodafone, I was involved in a project that detects real-time network anomalies.
We developed an anomaly detection model using Apache Flink to analyze network traffic in real time. The system identified deviations from normal traffic patterns, enabling rapid intervention when needed.
Technologies Used:
–Streaming Data Processing: Apache Flink, Kafka
–Machine Learning: Isolation Forest, Autoencoder Networks
-Big Data: Snowflake, Databricks
–Cloud & Deployment: Azure, Kubernetes, Docker
Software Engineer
Rewardy media AB - Full-time
2021-2022
Gothenburg, Sweden
Education
Education in Artificial Intelligence and Software Engineering.
Master of Science in Artificial Intelligence Engineering
Jönköping University
Sep 2022 - Jun 2024
Bachelor of Science in Software Engineering
Atilim University
Sep 2017 - Jun 2021
Language Skills
Fluent in two languages, facilitating effective communication and collaboration in diverse environments.
English
Native/Bilingual
Turkish
Native/Bilingual
Swedish
Currently learning
References
References and testimonials highlighting professional competence and contributions from colleagues and supervisors.
Shayan Parsai
Manager - Webfixer
Bilge has been an invaluable part of our team at Webfixer. Her expertise in AI integration has significantly enhanced our B2B clients’ websites, leading to improved user experiences and operational efficiencies. She demonstrates excellent problem-solving skills and a commitment to continuous learning, making her a standout contributor in our projects.
