Breaking Games Externship via Extern·🟢 Open to work
I hold a Master's in Databases and Business Support. I use data analysis and machine learning to turn complex datasets into actionable insights.
Discover my innovative web applications that harness machine learning and data analysis to solve real-world problems.
Developed an end-to-end machine learning web application (Python, Streamlit) analyzing data from the Stack Overflow Developer Survey, featuring interactive dashboards, a salary prediction model, and a personalized technology recommendation system based on user experience, location, education, and age.
Built a machine learning web application to predict loan approvals from personal and financial data, including exploratory analysis, preprocessing pipelines, classification modeling, and interactive visualizations.
I hold a Master's in Databases and Business Support. I use data analysis and machine learning to turn complex datasets into actionable insights.
I am a recent graduate with a Master's degree in Databases and Business Support. I specialize in exploratory data analysis, feature engineering, and predictive modeling with Scikit-learn and Python. My hands-on experience includes a Data Science internship, where I analyzed extensive financial risk data using Databricks and Python. I also excel in reporting with Power BI and SQL, and I can deploy end-to-end machine learning applications, transforming complex datasets into actionable insights.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Risk Data Scientist Intern
Worldline SA, Bucharest, Romania · Dec 2024 – Apr 2025
Education
Bucharest University of Economic Studies
MSc in Databases and Business Support · Class of 2025
Bucharest University of Economic Studies
BSc in Economic Cybernetics · Class of 2023
Skills
Developed an end-to-end machine learning web application (Python, Streamlit) analyzing data from the Stack Overflow Developer Survey, featuring interactive dashboards, a salary prediction model, and a personalized technology recommendation system based on user experience, location, education, and age.
Built a machine learning web application to predict loan approvals from personal and financial data, including exploratory analysis, preprocessing pipelines, classification modeling, and interactive visualizations.
Built a full-stack web application (React, Node.js, Express) integrating the Google Gemini API to generate personalized poems based on user-selected topic, style, and language, demonstrating full-stack development and third-party API integration skills.
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The project consolidated six messy CSV files into a structured analytics database and built queries to populate a Q4 dashboard. The work included inventorying source tables, designing schema and ETL logic, and writing SQL transforms and aggregations for the dashboard.
I produced a Holiday Game Plan document with five rapid SQL answers, schema and dim_product notes, three cross-journey queries, a 25-product revenue leaderboard, and reorder recommendations derived from queried metrics.
On Project 1 I prepared a Holiday Game Plan Google Doc containing five rapid SQL answers, schema and dim_product notes, three cross-journey queries, a 25-product revenue leaderboard, and reorder recommendations based on queried metrics.