Available to hire
Hi, I’m Christina Konstantopoulou, a data scientist with a PhD in Astrophysics and 6+ years of experience in data analysis, machine learning, statistical modeling, and visualization. I enjoy turning complex data into clear, actionable insights and building robust pipelines that improve accuracy and efficiency.
I’m passionate about solving real-world problems, accelerating decision-making, and helping clients make data-driven choices through high data quality, automation, and thoughtful communication of results.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Greek, Modern
Fluent
German
Advanced
French
Beginner
Work Experience
Data Scientist at Earthworm Foundation
May 1, 2025 - November 5, 2025Built a scalable ML matching pipeline (RapidFuzz, TF-IDF + cosine similarity, custom alias mapping), reducing manual review effort by 70%. Developed a web-scraping tool to extract structured data, reducing manual entry by 80% and enabling downstream reporting workflows.
Research Associate at Observatory of Geneva
October 1, 2024 - October 1, 2024Developed Python automated ETL workflows, reducing data processing time by 70%, accelerating decision-making. Analyzed a 2-billion-record dataset using k-NN to identify target candidates, increasing discovery efficiency by 20%. Conducted advanced statistical analyses and hypothesis testing, improving model accuracy by 20%. Led international research projects, coordinating deliverables, data analysis, and resulting in 14+ publications.
Scientific Data Analyst at Nordic Optical Telescope
November 1, 2020 - November 1, 2020Optimized telescope scheduling and data collection, achieving 90% efficiency and minimizing downtime using real-time data and scientific priorities. Executed calibration algorithms on raw data, reducing noise by over 20%, producing clean, high-fidelity datasets. Resolved technical failures in real time during telescope operations, minimizing data loss and ensuring >90% efficiency.
Data Scientist at Earthworm Foundation
October 1, 2025 - October 1, 2025Built a scalable machine learning name matching pipeline, reducing manual review effort by 70%. Developed a web-scraping tool to extract structured data, reducing manual entry by 80%, enabling streamlined reporting workflows.
Education
B.Sc. in Physics at University of Patras, Greece
January 11, 2030 - February 1, 2017M.Sc. in Astrophysics at University of Copenhagen, Denmark
September 1, 2017 - September 1, 2019Ph.D. in Astrophysics at University of Geneva, Switzerland
November 1, 2020 - October 1, 2024Ph.D. in Astrophysics at University of Geneva, Switzerland
November 1, 2020 - October 1, 2024M.Sc. in Astrophysics at University of Copenhagen, Denmark
November 1, 2020 - October 1, 2024B.Sc. in Physics at University of Patras, Greece
January 11, 2030 - February 1, 2017Ph.D. in Astrophysics at University of Geneva, Switzerland
November 1, 2020 - October 1, 2024M.Sc. in Astrophysics at University of Copenhagen, Denmark
September 1, 2017 - September 1, 2019B.Sc. in Physics at University of Patras, Greece
January 11, 2030 - February 1, 2017Ph.D. at University of Geneva, Switzerland
November 1, 2020 - October 1, 2024M.Sc. at University of Copenhagen, Denmark
September 1, 2017 - September 1, 2019B.Sc. at University of Patras, Greece
January 11, 2030 - November 10, 2025Qualifications
IBM Data Science Professional Certificate
February 1, 2025 - November 5, 2025IBM Data Science Professional Certificate
February 1, 2025 - November 5, 2025IBM Data Science Professional Certificate
January 11, 2030 - November 5, 2025IBM Data Science Professional Certificate
February 1, 2025 - November 10, 2025Industry Experience
Software & Internet, Non-Profit Organization, Professional Services, Education, Government, Media & Entertainment, Other
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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