samlexrod/titanic-analysis

Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results.

Hi there and welcome! 👋

About Me:

I am a passionate and dedicated machine learning engineer with a proven track record of developing high-scale machine learning workflows. Leveraging a robust blend of data science, data engineering, and software engineering skills, I specialize in creating innovative solutions to complex problems. My expertise spans various machine learning techniques, including linear regression, classification, clustering, and Natural Language Processing (NLP) tasks. I have extensive experience designing and implementing predictive models that drive actionable insights and business value. Whether it is building sophisticated ETL and Reverse ETL pipelines or optimizing models for predictive accuracy, I thrive on tackling challenging projects and delivering exceptional results.

In addition to my technical skills, I am committed to continuous learning and staying abreast of the latest advancements in the field. I advocate for best practices in machine learning and software development practices, ensuring that my workflows are efficient, scalable, and maintainable. I enjoy collaborating with cross-functional teams to translate business requirements into technical specifications, and I am adept at communicating complex technical concepts to non-technical stakeholders. My goal is to harness the power of machine learning to solve real-world problems and contribute to impactful projects.

Languages and Tools

Cloud:

Azure	AWS	GCP

Languages:

Python	JavaScript	SQL

Favorite Frameworks and Libraries:

Hugging Face	Selenium	Numpy	Pandas	PySpark	Sklearn	Openpyxl

Django	React	Pytorch	Tensorflow

Environments, Testing, Other:

Git	Docker	Pytest	Postman	Vite