Victor-Gabriel Antonescu
Bucharest,Romania
Overview
2
2
years of professional experience
3
3
years of post-secondary education
Work history
Statistics and Data Science Association
Bocconi
09.2024 - Current
Financial News Sentiment Analysis : Develop a machine learning model that analyzes headlines or summaries of financial news, providing a sentiment score to assess market mood and predict potential market movements.
Software Developer
-
03.2023 - Current
- Developed the Back-End for 3 medical clinics in Romania, improving their online presence
- Build responsive websites using HTML, CSS, JavaScript, and handled back-end functionality with Node.js
- Manage a database of over 10,000 patient records using PgAdmin for secure and efficient data storage
- Integrate RESTful APIs to streamline patient appointment bookings
- Utilize Git for effective project management and version control
Data Science Internship
Government of Romania
Bucharest, Bucuresti
07.2024 - 09.2024
- Work on the development of 3 governmental projects
- Contributed to Three Governmental Projects: Executed preprocessing of complex datasets, addressing outliers and standardizing variables. Developed and assessed linear regression models to forecast trends, visualized via Seaborn. Produced multi-faceted Matplotlib visualizations to illustrate comparative project insights.
- Managed Extensive Data Volumes: Integrated multiple datasets using Pandas to enable comprehensive analysis. Employed NumPy for computing correlation coefficients and conducting preliminary statistical evaluations. Created tailored Matplotlib visualizations, incorporating error bars and heatmap representations.
- Leader of the internship organizational team
- Organize 5 activities within the internships
Education
Bachelor of Science - Mathematical and Computing Sciences for Artificial Intelligence
Bocconi University
09.2023 - 06.2026
Skills
- Python Programming
- C
- C
- Object-Oriented Programming (OOP)
- Web Development
- Data Science
- APIs and Web Scraping
- Databases
- Front-End Development
- Automation
- Machine Learning
- Nodejs
- Expressjs
- Reactjs
- PGAdmin
- RESTful APIs
- Version Control (Git)
- Authentication & Security
- Statistical Modeling : Developing and interpreting models to analyze data
- Descriptive Statistics : Summarizing data using tables, graphs, and central tendency measures
- Regression Analysis : Building and analyzing linear regression models
- Hypothesis Testing : Designing and interpreting hypothesis tests and statistical significance
- Confidence Intervals : Constructing and interpreting confidence regions for parameters
Accomplishments
- Machine Learning Model Deployment : Developed and deployed a machine learning model using Scikit-Learn and Flask, capable of making real-time predictions based on user input. The project encompassed data preprocessing, model training, and integration into a web application, showcasing abilities in machine learning, model evaluation, and deployment strategies.
- Data Visualization Dashboards : Constructed interactive data visualization dashboards using Plotly and Dash, enabling dynamic exploration of datasets. The project emphasized data analysis, visualization techniques, and the creation of user-friendly interfaces for data interpretation.
- Interactive Web-Based Blog Platform : Designed and implemented a full-stack blog application using Flask for the backend and Bootstrap for responsive front-end design. The platform features user authentication, CRUD operations, and dynamic content rendering, highlighting skills in web development, RESTful API integration, and user interface design.
- Data-Driven Web Scraping Application : Engineered a robust web scraping tool employing Beautiful Soup and Requests libraries to extract and process data from dynamic websites. The project involved parsing HTML content, handling HTTP requests, and managing data storage, demonstrating proficiency in data extraction and manipulation techniques.
- Project: Analysis of Deaths Involving Police in the United States: Conducted an in-depth analysis combining US census data with the Washington Post's database on police-involved deaths. This project involved data cleaning, integration, and exploratory data analysis to uncover trends and demographic patterns. Leveraged Python and data visualization tools to extract key insights, such as correlations between population demographics and incidents involving police. This analysis highlights proficiency in data manipulation, statistical analysis, and the ability to generate actionable insights from complex datasets, valuable for data-driven decision-making and policy assessment.
Custom
Personal Information
Timeline
Statistics and Data Science Association
Bocconi
09.2024 - Current
Data Science Internship
Government of Romania
07.2024 - 09.2024
Bachelor of Science - Mathematical and Computing Sciences for Artificial Intelligence
Bocconi University
09.2023 - 06.2026
Software Developer
-
03.2023 - Current
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