About Me
As a Data Analyst at Elpen Pharma, I specialize in bridging the gap between complex data and clear business strategy.
My academic background includes a Master's in Computer Science and a Bachelor's in Statistics & Insurance Science, providing a robust analytical and technical skill set.
I thrive in environments where I can leverage statistical modeling and machine learning to solve challenging, real-world problems.
Driven by a passion for uncovering the stories hidden within data and using them to create impactful results.
Career Journey
2023 - Present
CRM Data Scientist
Elpen Pharma
- Analyzing sales and market data to discover insights and improve business strategies.
- Developing dashboards, reports, and bonus systems using historical data.
2022 - 2023
Data Analyst
IQVIA
- Conducted data analysis and reporting for healthcare clients, focusing on market trends and patient outcomes.
- Collaborated with cross-functional teams to implement data-driven solutions.
2020 - 2021
ERP Data Analyst
Syscode Zougri & Co
- Applied in-depth knowledge of application components and query tools to streamline businessprocesses and achieve key performance objectives.
- Collaborated with cross-functional teams to identify and implement process improvements,increasing operational efficiency by 20%.
Education
2021 - 2023
Master of Science in Computer Science
University of Piraeus
Thesis Title: Object Detection Analysis in Basketball Game Videos
2012 - 2020
Bachelor of Science: Statistic and Insurance Science
University of Piraeus
Specialized in A/B testing, developing statistical models to drive data-driven decision-making and optimize business strategies.
Technical Skills
Languages & Databases
Python
SQL / PostgreSQL
Machine Learning & Data Science
Scikit-learn
Pandas
TensorFlow
Backend & Frontend
FastAPI
Next.js / React
Node.js
Tailwind CSS
Tools & DevOps
Docker
AWS
Git
Featured Projects
Here are a few selected projects.
Pacific Hurricane Data Extractor
This project utilizes Large Language Models (LLMs)
Malaria Cell Classification using CNNs
Malaria Cell Classification using CNNs
Basketball Tracking and Dataset Creation App
A web application for basketball object detection, tracking, and automated dataset creation using YOLO object detection models. Built with FastAPI (backend) and Streamlit (frontend).