Data Scientist

Summary

As a Data Scientist with over 2 years of industry experience, I blend a strong academic background in Computer Science and Artificial Intelligence with practical skills in data analysis and machine learning. My journey began with a Bachelor's in Mechanical Engineering and a minor in Computer Science, followed by a Master's in Computer Science focusing on AI at Florida Atlantic University.

My professional experience spans diverse roles, each enhancing my expertise. As a Data Science Research Assistant at Harbor Branch Oceanographic Institute, I applied machine learning to improve aquaculture sustainability. At JCB, I leveraged SQL and Tableau for data-driven decision-making, significantly impacting sales and market share. My entrepreneurial venture as Co-Founder of Luxurpet allowed me to apply data analytics in e-commerce and manage cross-functional teams.

My project portfolio, including the "Generate Less-Toxic Summaries" project, demonstrates my proficiency in NLP, model fine-tuning, and MLOps practices. I'm skilled in various programming languages, machine learning libraries, and cloud platforms, including Python, SQL, TensorFlow, and AWS.

I pride myself on my ability to combine technical depth with project management skills, applying Agile methodologies to deliver results. My diverse experience has equipped me to tackle complex, real-world problems, translating data insights for both technical and non-technical stakeholders. I'm always eager to learn and adapt to new technologies, continuously seeking innovative solutions in the ever-evolving field of data science.

Expectations

In my new role, I'm looking for meaningful work where I can collaborate with a talented team to create innovative solutions. I value a friendly, supportive work environment that fosters creativity and personal growth. I'm excited to tackle challenging projects that push the boundaries of AI and machine learning, particularly in areas like model safety and explainability.
I hope to contribute to cutting-edge research and development in LLM frameworks and generative AI, while also having opportunities to enhance my skills in MLOps and large-scale distributed systems. I'm eager to work with diverse datasets and complex problems that have real-world impact.
Additionally, I'm seeking a position that offers opportunities for professional development, such as attending conferences or participating in industry workshops. I'm passionate about staying at the forefront of technological advancements and would love to be part of a company that encourages continuous learning and innovation.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Professional Skills
• Leadership
• Teamwork
• Communication
• Creative Problem-Solving
• Data Analysis
• Quality Assurance
• Interpersonal Skills
• Presentation Skills
• Big Data
• Collaborative
• Data Management
• Dashboard Creation
• Forecasting
• Root Cause Analysis
• Statistical Analysis
• Quantitative Analysis
• A
• B Testing
• Information Retrieval
• Natural Language Processing
• NLP
• Programming Languages
• Libraries
• Python
• SQL
• MATLAB
• Scikit-learn
• TensorFlow
• Keras
• NLTK
• NumPy
• SciPy
• Pandas
• Flask
• Data Visualization
• Data Analysis Tools
• Tableau
• Matplotlib
• Seaborn
• Plotly Dash
• MS Office Suite
• Machine Learning
• Predictive Analytics
• Regression Modeling
• Time Series Analysis
• Decision Trees
• SVM
• Deep Learning
• Project Management
• Agile Methodologies
• Scrum
• ZenHub
• Cloud
• AWS
• SageMaker
• Azure
• Machine Learning Studio
• Google Cloud
• Firebase
• GitHub
• Git
• Generative AI
• Transformers
• Prompt Engineering
• Fine-Tuning
• Retrieval-Augmented Generation
• PEFT
• LoRA