I am a Data Scientist and AI Researcher with a PhD in Computer Science and over 10 years of experience applying machine learning, data science, and AI to real-world problems. I am a DAAD scholarship recipient for my Master’s and PhD studies, and my academic journey has taken me across multiple countries and research environments. My work spans healthcare, education, and business domains, where I have developed predictive models, analyzed complex datasets, and translated research into practical, production-oriented solutions. I enjoy building end-to-end AI systems that combine technical depth with a strong understanding of business needs and real-world constraints. I have experience in both research and applied settings, including teaching Data Science at university level and working as a Data Scientist and researcher. I am comfortable working with Python, SQL, machine learning, NLP, and data-driven systems, and I focus on delivering measurable impact through scalable solutions. I am naturally curious and continuously explore advances in AI, particularly in generative AI and applied machine learning. I thrive in environments that value ownership, problem-solving, and building systems that are used in practice.

Foawzia H Naseri

I am a Data Scientist and AI Researcher with a PhD in Computer Science and over 10 years of experience applying machine learning, data science, and AI to real-world problems. I am a DAAD scholarship recipient for my Master’s and PhD studies, and my academic journey has taken me across multiple countries and research environments. My work spans healthcare, education, and business domains, where I have developed predictive models, analyzed complex datasets, and translated research into practical, production-oriented solutions. I enjoy building end-to-end AI systems that combine technical depth with a strong understanding of business needs and real-world constraints. I have experience in both research and applied settings, including teaching Data Science at university level and working as a Data Scientist and researcher. I am comfortable working with Python, SQL, machine learning, NLP, and data-driven systems, and I focus on delivering measurable impact through scalable solutions. I am naturally curious and continuously explore advances in AI, particularly in generative AI and applied machine learning. I thrive in environments that value ownership, problem-solving, and building systems that are used in practice.

Available to hire

I am a Data Scientist and AI Researcher with a PhD in Computer Science and over 10 years of experience applying machine learning, data science, and AI to real-world problems. I am a DAAD scholarship recipient for my Master’s and PhD studies, and my academic journey has taken me across multiple countries and research environments.
My work spans healthcare, education, and business domains, where I have developed predictive models, analyzed complex datasets, and translated research into practical, production-oriented solutions. I enjoy building end-to-end AI systems that combine technical depth with a strong understanding of business needs and real-world constraints.
I have experience in both research and applied settings, including teaching Data Science at university level and working as a Data Scientist and researcher. I am comfortable working with Python, SQL, machine learning, NLP, and data-driven systems, and I focus on delivering measurable impact through scalable solutions.
I am naturally curious and continuously explore advances in AI, particularly in generative AI and applied machine learning. I thrive in environments that value ownership, problem-solving, and building systems that are used in practice.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
Hindi
Advanced
Persian
Intermediate

Work Experience

Data Scientist / Researcher at ESMT Berlin - Empirical Data Science Research Project
January 1, 2023 - Present
Analyzed 5,636 patient records from a hospital setting to study patient no-show behavior for scheduled eye surgeries. Combined medical, financial, behavioral, and facial-recognition-related data to identify risk factors behind missed operations. Applied statistical analysis, machine learning, and NLP-based thematic analysis on nurses’ notes to extract behavioral indicators. Identified financial constraints, anxiety, and depressive symptoms as key drivers of non-attendance. Translated findings into actionable recommendations for patient follow-up, scheduling, and hospital decision-making.
Intern Backend Developer & Data Analyst at Paxlife GmbH
January 1, 2022 - December 31, 2022
Proficient in developing, documenting, and maintaining APIs using Python, and collaborating with development teams to improve API performance, scalability, and reliability. Performed data analysis on energy consumption datasets to identify patterns and optimization opportunities. Designed and executed automated and manual test plans for RESTful APIs using Postman and Python-based testing tools.
Content Moderator at Bertelsmann Majorel GmbH
January 1, 2021 - December 31, 2022
Improved operational efficiency and decision accuracy by developing content moderation policies. Integrated systems (APIs, microservices, legacy platforms) using REST, SOAP, and event-driven architectures. Designed scalable, high-performance system architectures aligned with business and technical requirements.
Algorithm Design and Researcher at Celestialand GmbH
January 1, 2021 - December 31, 2023
Designed and implemented a comprehensive security framework for a financial institution to ensure compliance with industry regulations and minimize the risk of data breaches. Proficient in machine learning, including predictive modeling and natural language processing, with hands-on experience in developing and deploying ML models. Experienced in path planning algorithms for space missions, applying optimization techniques and graph-based algorithms to solve complex routing and navigation problems. Applied basic A/B testing and experimentation concepts to evaluate behavioral differences in patient groups and support data-driven decision-making.
Dean of Computer Science at Herat University
January 1, 2013 - December 31, 2017
Secured research grants to advance academic and student-led research projects. Led curriculum development and introduced innovative teaching strategies to enhance learning outcomes. Supervised and mentored faculty and students, fostering research activity and academic excellence within the department.

Education

PhD at TU Berlin
April 1, 2018 - September 1, 2023
Master at TU Berlin
October 1, 2010 - September 1, 2013
Bachelor of Computer Science at IIMT India
June 1, 2005 - September 1, 2008
Leadership Fellowship at Hawaii University
March 1, 2022 - May 1, 2022
Data Science Certificate at Spiced Academy Berlin
January 1, 2023 - April 1, 2023
BCG Virtual Experience Program - Data Science & Analytics at BCG
March 1, 2023 - May 1, 2023
MLOPS DataTalks Club at DataTalks.Club
May 1, 2023 - July 1, 2023
Artificial Intelligence - BSBI at BSBI (Berlin School of Business and Innovation)
January 1, 2025 - January 1, 2026

Qualifications

PhD - DAAD Scholarship
April 1, 2018 - September 1, 2023
Master - DAAD Scholarship
October 1, 2010 - September 1, 2013
Leadership Fellowship - Hawaii University
March 1, 2022 - May 1, 2022
Data Science Certificate - Spiced Academy Berlin
January 1, 2023 - April 1, 2023
BCG Virtual Experience Program - Data Science & Analytics
March 1, 2023 - May 1, 2023
MLOPS DataTalks Club
May 1, 2023 - July 1, 2023
Artificial Intelligence - BSBI
January 1, 2025 - January 1, 2026

Industry Experience

Healthcare, Financial Services, Education, Software & Internet, Energy & Utilities