Silvia Adris

Key Skills

Software

Other

Top Subject Matter

Self driving Car in Virtual Environment

Sentiment analysis of Amazon Reviews

Pacman game using Reinforcement Learning

Top Data Types

Document

Image

Video

Top Task Types

Classification

Data Collection

Object Detection

Freelancer Overview

I have over two years of experience working on AI training data and machine learning projects, which have provided me with strong skills in data labeling, model development, and integration of AI into real-world applications. Notably, I developed a self-driving car model using the Augmented Random Search (ARS) algorithm in the CARLA simulation environment, allowing the virtual vehicle to navigate complex scenarios and avoid obstacles with high accuracy. This project honed my skills in Python, reinforcement learning, and real-time decision-making. Additionally, during my tenure at UNICEF, I coordinated and managed data systems, ensuring data accuracy and efficiency, which further strengthened my ability to handle large datasets and improve system transparency. In addition to the projects listed in my CV, I completed two other significant AI-related projects. The first involved sentiment analysis of Amazon reviews, where I built a model that accurately classifies customer feedback as positive, neutral, or negative using natural language processing (NLP) techniques. The second project was a Pacman game developed using reinforcement learning, where the AI agent learned to optimize its strategy for navigating the game environment. These projects highlight my adaptability and hands-on experience in AI development, especially in applying reinforcement learning and NLP techniques.

Labeling Experience

Education

Work History