Dʀ Mᴀɴᴏᴜꜱᴏꜱ Kʟᴀᴅᴏꜱ
Thessaloniki
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Data Scientist
SUMMARY
Skilled in developing predictive models, optimizing algorithms, and utilizing programming languages such as Python, R, and SQL to extract,
clean, and analyze data effectively. Experienced in data visualization techniques, utilizing tools like Tableau, Power BI, or Matplotlib to
communicate findings to diverse stakeholders. Proficient in handling complex datasets, applying machine learning algorithms, and employing
statistical methods to solve multifaceted problems, as well as in leading high-performing teams to develop sophisticated models that illuminate
marketplace dynamics, customer value, user behaviors, and long-term trends. Strong analytical and problem-solving skills are complemented by
the ability to communicate complex findings clearly to both technical and non-technical audiences. Thriving in fast-paced environments,
managing multiple projects under tight deadlines while working collaboratively as part of a high-performing team.
EXPERIENCE
Data Scientist/ Scientific Consultant | NIRx
01/2024 to Present
Implemented machine learning algorithms for pattern recognition in big data.
Collaborated with cross-functional teams on data collection protocols and optimized process flow.
Cleaned and pre-processed raw data for quality assurance purposes.
Applied diverse modeling techniques to address challenges within the Neuroscience field.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
Senior Data Scientist/ Researcher | University of York - Europe Campus
01/2020 to Present
Implemented advanced data mining techniques for seamless research operations.
Led a team of junior data scientists to streamline the analytical process.
Optimized machine learning algorithms and improved predictive modeling accuracy.
Initiated training programs on the latest analytics tools for team skill enhancement.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
Chief Scientific Officer/ Lead Data Scientist | Next Billionaires Capital
01/2020 to 12/2023
Developed and deployed a predictive start-up founders success model using advanced machine learning techniques.
Led a cross-functional team to implement an anomaly detection system, reducing the fraudulent profiles by 30%.
Innovated customer segmentation models, enabling targeted marketing strategies that increased customer engagement and retention rates
by 20%.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
Researcher in Biomedical Data Science | Aston University
07/2017 to 12/2019
Applied statistical modeling to improve data analysis and ongoing accuracy.
Employed statistical modeling techniques for hypothesis testing.
Built custom data visualization tools to interpret complex information clearly and accurately.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
Postdoctoral Researcher/ Data Scientist | TU Dresden
10/2016 to 10/2018
Implemented parallelized algorithms for distributed computing to advance big data analysis.
Completed detailed research proposals to secure investment and funding.
Designed novel approaches to complex problems, leading to breakthroughs in the field of neuroscience.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
Postdoctoral Researcher/ Data Scientist | Max Planck Institute for Human Cognitive and Brain
10/2014 to 10/2016
Utilized machine learning algorithms for brain-behavior prediction.
Built custom data visualization tools to interpret complex information clearly and accurately.
Presented analytical findings to non-technical stakeholders, facilitating informed decision-making.
Strong knowledge of programming, algorithms, and data structures.
Industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
Knowledge of Data Science techniques, supervised & unsupervised learning.
Technical understanding of algorithms - Linear Regressions, Random Forests, SVMs, KNN, K-means.
Experience of working on models that are productionalised.
Strong proficiency in libraries: numpy, spicy, pandas, scikit learn, matplotlib, seatborn.
Proficiency in PySpark, data engineering, Kedro framework.
EDUCATION
Bachelor of Science: Mathematics | Aristotle University of Thessaloniki
2001 to 2006
Studied fundamental and advanced mathematical theories and their applications.
Master of Science: Medical Informatics | Aristotle University of Thessaloniki
2007 to 2009
Focused on the application of informatics and computer technology in medical contexts.
Doctor of Philosophy: Medical Informatics | Aristotle University of Thessaloniki
2010 to 2014
Conducted research on the intersection of medical science and information technology, culminating in a dissertation.
SKILLS
Predictive Modeling
Machine Learning
Python
R
SQL
Data Visualization
