Open to opportunities

Kostanca Kovaci

@kostancakovaci

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Junior Data Scientist and Data Analyst building ML/NLP solutions and clear, business-ready insights.

Greece

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What I'm looking for

I’m looking for a remote-friendly role where I can build end-to-end data pipelines, apply ML/NLP with fairness in mind, and turn complex analysis into business decisions through clear dashboards and KPI reporting.

I’m an MSc Data Scientist with a Bachelor in Physics, and I bring strong analytical problem-solving to machine learning, NLP, SQL analytics, and data visualization. In my dissertation, I earned a Top 5 Best Individual Projects Poster Award by auditing LLM prompt bias against real-world data, and I enjoy translating complex findings into clear decisions for both technical and non-technical audiences.

I build end-to-end pipelines and deploy practical applications—from an ML churn prediction app to SQL-based e-commerce sales analytics and an NLP fraud job-posting classifier. I’m also experienced with fairness metrics, KPI reporting, and model evaluation, and I’m motivated to turn data validation and modeling into measurable impact.

Experience

Work history, roles, and key accomplishments

Customer Support Analyst & Data Val

Cosmote Telekom

Mar 2026 - May 2026 (2 months)

Managed high-volume customer data entry and performed real-time validation in live CRM systems, maintaining accuracy and data quality. Collaborated daily with stakeholders to translate customer needs into actionable resolutions.

Customer Support Data Entry Data Validation CRM Systems Data Quality

Education

Degrees, certifications, and relevant coursework

Middlesex University

Master of Science, Data Science

2024 - 2025

Activities and societies: Top 5 Best Project Poster Award for dissertation: “Gendered Perception in LLMs: Auditing Neighbourhood Safety Bias”.

MSc in Data Science with a dissertation on gendered perception in LLMs by auditing neighbourhood safety bias, earning a Top 5 Best Project Poster Award. Built an auditing pipeline comparing model outputs against real-world datasets.