Cristian Zamora
Machine Learning
Suffolk,VA
Summary
Currently a Computer Science student with a focus on data analytics and machine learning. With a foundation grounded in military discipline and a thorough understanding of programming and data manipulation, bring a problem-solving mindset and a drive for innovation. Seeking opportunities to apply a growing skill set in Python, R, and relevant data technologies in a role as a Data Analyst or in Machine Learning, aiming to deliver insightful solutions and contribute to the advancement of data-driven decision-making.
Overview
5
5
years of professional experience
1
1
year of post-secondary education
1
1
Certification
1
1
Language
Work History
Military
US Navy
12.2021 - 04.2023
- Used critical thinking to break down problems, evaluate solutions and make decisions
- Acted as a team leader in group projects, delegating tasks and providing feedback
- Demonstrated strong organizational and time management skills while managing multiple projects
HVAC Technician
Keneer
10.2018 - 10.2021
- Repaired, replaced and serviced both residential and commercial HVAC equipment, components, and wiring
- Worked in strict compliance with applicable OSHA regulations and safety requirements
- Inspected and tested refrigeration systems, safety devices and controls to determine proper functionality
- Maintained and repaired industrial chillers weighing up to [10 ] tons
Education
Bachelor of Science - Computer Science, Specialization in Software E.
Southern New Hampshire University
Hooksett, NH 06.2023 - Current
Skills
Technical Skills
- Programming Languages: Proficient in Python and R, with practical application in academic projects using libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
- Statistical Analysis and Probabilistic Modeling: Solid understanding of statistics and probability principles, applied in coursework and personal projects to ensure accurate data analysis and modeling
- Machine Learning Algorithms: Familiar with a range of machine learning techniques through academic study and hands-on projects, including supervised and unsupervised learning methods such as regression, classification, clustering, and dimensionality reduction Introductory experience with deep learning and reinforcement learning
- Software Engineering Practices: Knowledgeable in version control (Git), and have applied software development best practices in classroom settings and personal projects for maintainable code
Analytical Skills
- Data Manipulation: Experience in data wrangling and preprocessing using SQL and Python to prepare datasets for analysis in academic assignments
- Data Modeling and Evaluation: Trained in designing machine learning models and selecting appropriate metrics for evaluating their performance as part of course requirements
Communication and Collaborative Skills
- Project Documentation and Reporting: Developed skills in documenting projects and presenting findings in clear, concise reports for academic presentations
- Team Projects and Collaboration: Participated in several team-based projects, enhancing teamwork skills and contributing to successful project outcomes
Emerging Expertise
- Big Data Technologies: Exposure to big data technologies like Hadoop and Spark through coursework and personal exploration Understanding of cloud platforms such as AWS, Google Cloud, and Azure
- Neural Networks and Deep Learning: Introductory experience with TensorFlow and PyTorch through elective courses and independent learning
- Lifecycle Management: Gaining familiarity with machine learning lifecycle management tools like MLflow, and container technologies like Docker and Kubernetes through self-study and practical application in projects
Websites
Certification
Comptia Sec+
Timeline
Bachelor of Science - Computer Science, Specialization in Software E.
Southern New Hampshire University
06.2023 - Current
Military
US Navy
12.2021 - 04.2023
HVAC Technician
Keneer
10.2018 - 10.2021
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