
Aspiring Data Scientist with 8+ years of experience in procurement and supply chain management, transitioning to data analytics and business intelligence. Adept at uncovering actionable insights through data analysis, reporting, and visualization. Combines operational expertise with advanced technical skills in Python, SQL, Power BI, and Excel to solve complex problems and drive decision-making. Passionate about leveraging data to deliver impactful results in dynamic, fast-paced environments.
500 hours hands-on training program in Data Science and Machine Learning
• Git - Version Control, Command line, Python for Data Science
• Databases (SQL, MongoDB), APIs & Web Scraping
• EDA & Data Cleaning (Pandas, NumPy, Regex)
• Big Data & Natural Language Processing
• Machine Learning (Scikit Learn), Deep Learning (Keras)
• Visualizations (Power BI, Matplotlib, Seaborn, Streamlit, Plotly)
• Business Presentations & Communication Skills
GPA: Distinction (8,7)
Successfully passed the entry exams in 2023. Enrolled student with partial attendance due to professional commitments.
Analyzed accident trends across the United States, focusing on severity, geographical hotspots, and seasonal patterns to identify key factors contributing to road safety.
Examined Netflix's catalog to uncover trends in content and geographical distribution. Utilized Python libraries and APIs to deliver visually engaging analytics.
Scraped and analyzed player performance data from the PAOK FC site, using Python and Power BI to create interactive dashboards covering key performance metrics.
Explored the relationships between sleep quality, stress levels, and lifestyle factors, visualizing insights through Power BI dashboards and a Streamlit app.