I work on data-driven products that turn raw data into actionable insights.
My experience spans media analytics, NLP, user behavior analysis and scalable data pipelines.

I enjoy building:

• End-to-end data pipelines
• LLM-powered NLP solutions
• User segmentation & forecasting models
• Clean, reproducible, production-ready projects

• Natural Language Processing (Sentiment, Topic Modeling, LLM-based personalized solutions )
• User Analytics (Segmentation, Churn, Forecasting)
• Applied Machine Learning

Languages: Java, C#, Python, SQL
ML / NLP: Scikit-learn, PyTorch, Transformers, BERT, GPT
Databases: MySQL, MongoDB, Neo4j, BigQuery
Cloud & Tools: Docker, Azure, GCP, Databricks

🔹 LLM-based Sentiment & Topic Analysis
🔹 User Segmentation & Churn Prediction
🔹 Lakehouse Architecture with Azure & Databricks
🔹 Custom Internal Chatbots for Analytics Teams

• 💼 LinkedIn: https://linkedin.com/in/tesnimgulsen/
• 🌍 Portfolio: https://TesnimGulsen.github.io