I am a data scientist with a passion for programming, machine learning, and data analysis. I am adept at harnessing data-driven insights to enhance operational efficiency, identify growth opportunities, and refine business processes. Skilled in translating complex data sets into actionable strategies, I'm passionate about aiding organizations in making well-informed, future-oriented decisions. I thrive in collaborative settings and remain dedicated to keeping up with the latest trends in data science. I am always eager to apply my expertise and make a significant impact in meaningful ventures.

Graduated my Data Science bootcamp with TripleTen 2024, with included applied projects.

Programming Languages: Python (Pandas, NumPy, Matplotlib, Scikit-learn, Plotly, Seaborn), SQL, HTML, CSS

Machine Learning: Supervised ML (Linear Models, Tree-based Models), Unsupervised ML (Clustering), Reinforcement Learning, Natural Language Processing (NLTK, spaCy), XGBoost, LightGBM

Data Science Expertise: Computer Vision, Time Series Analysis, Geospatial Analysis, Anomaly Detection, A/B Testing, Experimental Design, Feature Engineering, Data Preprocessing, Model Evaluation and Hyperparameter Tuning

Deep Learning: Vertex AI, Tensorflow, PyTorch

Data Visualization: Tableau, Looker, Plotly Dash, Google Data Studio, Adobe Illustrator (for custom graphics)

Data Science Bootcamp | TripleTen (10 months intensive) | 2023 - 2024

BA in Architecture minor in GIS | UC Berkeley | 2013