I’m a Data Scientist with expertise in machine learning, NLP, multimodal models, and data analytics. I specialize in building scalable ML models, optimizing data pipelines, and deploying models in production environments.
- Machine Learning & NLP – Developing and fine-tuning models like RoBERTa, CLIP, and T5 for classification, sentiment analysis, and text generation.
- Data Analysis & Processing – Querying and analyzing data using SQL (Athena, Redshift), Pandas, and PySpark.
- Model Deployment & MLOps – Working with AWS SageMaker, CI/CD pipelines, and monitoring ML models for performance optimization.
- Forecasting – Using N-BEATS for multi-series forecasting to predict future trends across multiple time series.
- Visualization & Insights – Building Streamlit applications, dashboards, and reports to communicate findings effectively.
Explore my portfolio to see projects covering:
- T5 & BART text summarization models for automated summarization tasks.
- Sentiment analysis on Reddit and Glassdoor reviews using NLP models.
- Data pull via PRAW API for social media data collection.
- Streamlit app tutorial for building interactive data visualizations.
- Classification models for genre predictions based on text features.
- Ensemble methods for price predictions using multiple machine learning models.
- Languages: Python, SQL
- ML Frameworks: PyTorch, TensorFlow, Hugging Face
- Databases: Amazon Redshift, AWS Athena, PostgreSQL
- Cloud & MLOps: AWS SageMaker, Docker, CI/CD
- Visualization: Streamlit, Tableau, Looker Studio
- 👩💻 When I'm not diving into data science, I teach seminars part-time, sharing knowledge and helping others grow in their careers.
- 🏋️♀️ I’m a CrossFit enthusiast - it's challenging but definitely fun! I enjoy pushing myself and seeing progress along the way!
- 🐾 I’m also a proud pet parent to two cats who keep me on my toes (and provide plenty of cuddles 🐱).
Let’s connect! Check out my blogposts and projects.
Feel free to reach out if you want to talk fitness, cats, or anything tech-related!