Victor-Gabriel Antonescu

Emerging software professional eager to build skillset with high-value contributions. Applies diverse range of knowledge to create quality code. Excels in fast-paced environments with focus on growth and development.

• 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.