Panagiotis Valsamis
Data Science | Data Analyst
Oberkorn
Summary
Passionate and results-oriented data enthusiast with a strong background in data analysis,machine learning and real-world project development. Skilled in overseeing projects from data collection and processing to analysis and reporting. Skilled in organizing and managing projects end-to-end, from data preprocessing and modeling to deployment and presentation. Experienced in working with imbalanced datasets, building hybrid recommender systems, and applying both statistical and deep learning techniques. Known for delivering results on time and collaborating effectively with cross-functional teams.
Overview
1
1
year of professional experience
7
7
Certifications
3
3
Languages
Work History
Internship Student
National Bank of Greece
01.2023 - 06.2023
- Cross-Selling and Customer Service: Effectively engaged with customers to identify their financial needs and promote additional banking products and services.
- Customer Onboarding: Assisted clients with the process of opening accounts and initiating their collaboration with the bank, ensuring compliance with regulatory requirements.
- Insurance Products Promotion and Sales: Promoted and sold insurance products, providing clear explanations of benefits and terms to clients.
- Business and Investment Loans Training: Acquired knowledge in business and investment loans, understanding the assessment process, loan structures, and risk evaluation.
- Customer Support and Satisfaction: Managed to support around 20 customers daily, prioritizing their satisfaction and addressing their needs efficiently to maintain a high level of service quality.
Manager of the Army Café-restaurant
Hellenic Army
Alexandroupoli
09.2023 - 06.2024
- 2 Months of Basic Training: Acquired skills in discipline, teamwork, and physical endurance, while adhering to military protocols and procedures.
- Café-Restaurant Management: Assigned the responsibility of managing the military café-restaurant, where I:
- Supervised daily operations, ensuring efficient service.
- Managed financial and accounting tasks, including budgeting, expense tracking, and inventory control.
- Focused on enhancing customer satisfaction by maintaining high standards of service for military personnel.
Skills
Projects:
- Prediction of Heart Disease
Worked on a highly imbalanced medical dataset, prioritizing recall to minimize false negatives Explored multiple classification algorithms (eg, logistic regression, random forest, XGBoost) and applied techniques such as resampling and class weighting to optimize recall while maintaining acceptable accuracy
- Hybrid Recommender System for Personalized Product Suggestions
Developed a unified recommender engine combining market basket analysis, content-based filtering (TF-IDF NLP), and neural collaborative filtering to personalize and enhance product recommendations for Jack & Jones market
- Graph-Based Annotation of UniProtKB Protein Database:
Developed an interactive user interface for automatic protein annotation using a graph-based analysis approach Combined MongoDB and Neo4j for backend data management and leveraged Python for the frontend application
- Air Pollutant Data Analysis
Analyzed air pollution data collected from monitoring stations across various European cities to identify patterns and trends in air quality Processed datasets of multiple pollutants, performed statistical analysis, and visualized results to uncover insights about pollution levels
Academic Background
- Master of Science in Data Science 09 / 2024
In progress
GPA 16.10 out of 20
University of Luxembourg
Passed Courses:
Probability Theory (17.0)
Optimization and Numerical Probabilities
Signal Processing
Programming with R and Python
Data Visualization (18.2)
Data Ethics
Graph Theory
Data Ethics
Enrolled Courses:
Fundamentals of Statistical Learning
Mathematical Statistics
High Dimensional Statistics
Statistical Modelling
Introduction to Machine Learning Methods and Data Mining
Big Data Analytics
Introduction to Deep Learning
Introduction to Biology for Data Scientists
- Bachelor of Science in Mathematics
09 / 2018 - 06 / 2023
Gpa: 6.97 / 10
Aristotle University of Thessaloniki, Greece
Core Skills
Technical:
- Programming & Databases: Python, R, Scala, MongoDB, MySQL, Neo4j
- Machine & Deep Learning: Scikit-learn, TensorFlow, PyTorch
- Data Visualization: ggplot2, Matplotlib, plotly, seaborn
- Data Analysis: Tidyverse, Numpy, Pandas
- Big Data Analytics: Hadoop, Apach Spark
Soft:
- Teamwork and Collaboration: Ability to work well with others towards a common goal.
- Problem-Solving: Identifying issues and finding effective solutions.
- Critical Thinking: Analyzing information logically to make reasoned decisions.
- Time Management: Efficiently managing time and prioritizing tasks.
- Project Management: Planning, organizing, and overseeing projects to ensure they are completed on time and within budget.
Certification
GRE Certificate 76th Percentile on Quantitative Reasoning
Hobbies
- Basketball (Playing & Watching): Enjoy participating in competitive games, as well as following professional leagues to study game strategies and teamwork dynamics.
- Football (Playing & Watching): Actively involved in local matches and passionate about watching major tournaments, analyzing team tactics and player performance.
- Beach Volleyball: Love playing beach volleyball, which enhances teamwork, adaptability, and focus in high-energy environments.
Timeline
Machine Learning Specialization by Stanford University
05-2025
Understanding and Visualizing Data with Python by University of Michigan
12-2024
Data Analysis with Python by IBM
12-2024
Data Visualization with R by John Hopkins University
12-2024
Blockchain Technology by Aegean University
06-2024
Programming with R by Aegean University
06-2024
Manager of the Army Café-restaurant
Hellenic Army
09.2023 - 06.2024
GRE Certificate 76th Percentile on Quantitative Reasoning
06-2023
Internship Student
National Bank of Greece
01.2023 - 06.2023
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