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I am a data analyst and applied data scientist with a Ph.D. in Physics and a strong background in quantitative research, statistics, and programming (Python, SQL). Since 2024 I have been gaining hands-on experience in data-analytic projects with a focus on ETL pipelines, exploratory data analysis, and applying simple machine-learning models to support decision-making. I am passionate about presenting complex data in a clear, approachable way and enjoy collaborating with interdisciplinary teams to turn data into actionable insights. I thrive in agile environments and am eager to contribute to cross-functional projects that bridge science and business.…I am a data analyst and applied data scientist with a Ph.D. in Physics and a strong background in quantitative research, statistics, and programming (Python, SQL). Since 2024 I have been gaining hands-on experience in data-analytic projects with a focus on ETL pipelines, exploratory data analysis, and applying simple machine-learning models to support decision-making. I am passionate about presenting complex data in a clear, approachable way and enjoy collaborating with interdisciplinary teams to turn data into actionable insights. I thrive in agile environments and am eager to contribute to cross-functional projects that bridge science and business.

Samaneh Hesabi

Data Scientist, Data Analyst, Programmer, +3

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I am a data analyst and applied data scientist with a Ph.D. in Physics and a strong background in quantitative research, statistics, and programming (Python, SQL). Since 2024 I have been gaining hands-on experience in data-analytic projects with a focus on ETL pipelines, exploratory data analysis, and applying simple machine-learning models to support decision-making. I am passionate about presenting complex data in a clear, approachable way and enjoy collaborating with interdisciplinary teams to turn data into actionable insights. I thrive in agile environments and am eager to contribute to cross-functional projects that bridge science and business.…I am a data analyst and applied data scientist with a Ph.D. in Physics and a strong background in quantitative research, statistics, and programming (Python, SQL). Since 2024 I have been gaining hands-on experience in data-analytic projects with a focus on ETL pipelines, exploratory data analysis, and applying simple machine-learning models to support decision-making. I am passionate about presenting complex data in a clear, approachable way and enjoy collaborating with interdisciplinary teams to turn data into actionable insights. I thrive in agile environments and am eager to contribute to cross-functional projects that bridge science and business.

Available to hire

I am a data analyst and applied data scientist with a Ph.D. in Physics and a strong background in quantitative research, statistics, and programming (Python, SQL). Since 2024 I have been gaining hands-on experience in data-analytic projects with a focus on ETL pipelines, exploratory data analysis, and applying simple machine-learning models to support decision-making.

I am passionate about presenting complex data in a clear, approachable way and enjoy collaborating with interdisciplinary teams to turn data into actionable insights. I thrive in agile environments and am eager to contribute to cross-functional projects that bridge science and business.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Advanced

Work Experience

Data Scientist/ Datenanalystin at Stealth Startup (Remote, USA)

January 1, 2025 - July 1, 2025

Development and maintenance of ETL pipelines to process large datasets with Python and SQL; improvement of data quality and automatic detection of inconsistencies. Conducted Exploratory Data Analyses (EDA) on extensive datasets to identify patterns and anomalies supporting data-driven product decisions. Wrote and optimized complex SQL queries (joins, window functions, CTEs) for efficient data extraction. Developed, trained and evaluated ML models (e.g., classification, regression) with scikit-learn, including feature engineering and comparison of approaches. Created interactive Power BI dashboards to visualize KPIs for product and business decisions. Automated recurring data processing and reporting workflows with Python scripts to reduce manual work and errors. Collaborated with Product, Engineering and Business teams to translate business needs into analytical questions and provide data-driven recommendations. Documented data pipelines, analysis processes and model results for tracea

Data Analysis Professional Training at XDi – Experience Design Institute GmbH

August 1, 2024 - November 1, 2024

Professional training in data analysis, development of data pipelines with Python, Pandas, NumPy, SQL and Power BI; performed statistical analyses and created visual dashboards; completed a data project evaluating factors influencing wine quality.

Postdoctoral Researcher at Johannes Gutenberg University Mainz

March 1, 2023 - July 31, 2024

Contributed to a research project on quantum estimation, a key area in modern quantum information science. Applied deep theoretical knowledge and practical methods to analyze complex quantum systems, demonstrating strong analytical skills, intellectual curiosity and solid understanding of advanced quantum concepts.

Postdoctoral Researcher at Nicolaus Copernicus University Toruń

October 1, 2021 - December 31, 2022

Worked on a project concerning non-Markovian dynamics of open quantum systems, focusing on the mathematical foundations of quantum information theory and analysis of quantum optical systems beyond the Markov regime.

Lecturer at Shahid Chamran University & Payame Noor University Ahvaz

October 1, 2012 - June 30, 2019

Taught foundational physics courses, supervised bachelor and master theses, advised on research methods, collaborated with international researchers and contributed to peer-reviewed publications; delivered workshops on Microsoft Office and LaTeX for academic purposes.

Data Scientist / Data Analyst at Stealth Startup

January 1, 2025 - July 1, 2025

Developed and maintained scalable ETL pipelines using Python and SQL to process large datasets, performed exploratory data analyses (EDA) to identify trends and anomalies, engineered features and evaluated machine learning models (classification, regression) with scikit-learn, and created interactive Power BI dashboards for product and business KPIs. Automated recurring data processing and reporting workflows; collaborated with Product, Engineering, and Business teams; documented pipelines and results to improve transparency and onboarding.

Professional Training in Data Analysis at XDi – Experience Design Institute GmbH

August 1, 2024 - November 1, 2024

Developed and optimized data pipelines using Python, Pandas, NumPy, SQL, and Power BI. Performed statistical analyses and created dashboards for business-oriented data insights. Completed a data analysis project analyzing factors influencing wine quality.

Postdoctoral Researcher at Johannes Gutenberg University

March 1, 2023 - July 1, 2024

Conducted advanced quantitative analyses of complex systems within a large international research project; applied analytical and problem-solving skills to interpret large and complex datasets; collaborated with interdisciplinary and international research teams.

Postdoctoral Researcher at Nicolaus Copernicus University

October 1, 2021 - December 1, 2022

Analyzed complex models and datasets related to non-Markovian dynamics in quantum systems; strengthened structured thinking, mathematical modeling, and data interpretation skills.

Lecturer (Physics) at Shahid Chamran University & Payame Noor University

October 1, 2012 - June 1, 2019

Taught introductory physics courses, supervised bachelor’s and master’s theses; advised students on research methods and data analysis; conducted workshops on Microsoft Office and LaTeX.

Data Scientist / Datenanalystin at Stealth Startup

January 1, 2025 - July 1, 2025

Verarbeitung und Analyse von Datensätzen mit Python und SQL zur Unterstützung von Geschäftsinsights und Berichterstattung. Aufbau und Wartung von ETL-Pipelines für zuverlässige und effiziente Datenverarbeitung. Schreiben und Optimieren von SQL-Abfragen (CTEs, Joins, Window Functions) zur Extraktion und Vorbereitung von Daten für die Analyse. Erstellung interaktiver Power BI Dashboards zur Visualisierung wichtiger Metriken für Produkt- und Geschäfts Stakeholder. Automatisierung routinemäßiger Berichterstattungsaufgaben, Reduzierung des manuellen Aufwands und Erhöhung der Genauigkeit. Dokumentation von Datenpipelines und Workflows. Anwendung von Machine-Learning-Techniken (z.B. Klassifikations- und Regressionsmodelle mit scikit-learn) zur Erkundung von Datenmustern und Unterstützung der Entscheidungsfindung.

Postdoktorandin at Johannes Gutenberg Universität, Mainz

March 1, 2023 - July 31, 2024

Durchführung fortgeschrittener mathematischer und computergestützter Analysen zur Lösung komplexer physikalischer Probleme. Anwendung analytischer und numerischer Methoden auf theoretische Ergebnisse. Zusammenarbeit mit interdisziplinären Forschungsteams und Beitrag zur Projektdokumentation und Berichterstattung.

Postdoktorandin at Nicolaus Copernicus Universität, Toruń, Polen

October 1, 2021 - December 31, 2022

Arbeit an einem Forschungsprojekt über nicht-Markovsche Dynamik offener Quantensysteme, mit breitem Interesse an den mathematischen Grundlagen der Quanteninformationstheorie. Fokus auf die Analyse quantenoptischer Systeme jenseits des Markov-Regimes.

Lehrbeauftragte & Datenkompetenz-Instruktorin at Shahid Chamran Universität, Ahvaz, Iran

October 1, 2012 - June 30, 2019

Lehre von Physikkursen und Betreuung von studentischen Forschungsprojekten mit Fokus auf Datenanalysemethoden. Durchführung von Workshops zu Microsoft Excel und automatisierter Datenverarbeitung. Betreuung von Studierenden bei der Interpretation und Visualisierung von Daten.

Postdoctoral Researcher at Nicolaus Copernicus University, Toruń

October 1, 2021 - December 1, 2022

Worked on a research project on non-Markovian dynamics of open quantum systems, with broad interest in the mathematical foundations of quantum information theory. Focused on the analysis of quantum optical systems beyond the Markov regime.

Lecturer & Data Competence Instructor at Shahid Chamran University of Ahvaz & Payame Noor University, Iran

October 1, 2012 - June 1, 2019

Taught physics courses and supervised student research projects with a focus on data analysis methods. Conducted workshops on Microsoft Excel and automated data processing. Mentored students in data interpretation and visualization.