Currently working as a Machine Learning Engineer at Boxplot, a data consulting firm that provides solutions for various industries and domains. With over 6 years of experience in Python development and data engineering, I have a strong foundation in data manipulation, analysis, and modeling, using tools such as Pandas, SQLAlchemy, TensorFlow, and Azure Databricks. In my current role, I leverage my skills and knowledge to contribute to projects and tasks that involve data ingestion, cleaning, transformation, and prediction. Some of my key achievements include developing a pipeline for meta-analysis of infrastructure construction reports, enhancing real estate value forecasts, architecting an eDiscovery program, and integrating ChatGPT and GitHub for code acceleration. I am proficient in AWS SageMaker, PySpark, NLTK, and XG Boost, and I am currently enhancing my knowledge and skills in Machine Learning through DeepLearning.AI courses. I am eager to join a team where I can apply my diverse skill set, add value, and further immerse myself in Machine Learning and Data Science