My main interests includes computer vision ποΈβπ¨οΈ and natural language processing π and reinforcement learning π€.
- English level B2 .
- Python Programming best practices (clean, modular, ship reliable, scalable and efficient code) π₯οΈ.
- Scrum and agile methodologies π°οΈ.
- Team work and leadership π¨βπ¬.
- Written and oral communication βοΈ.
- Python π : Scikit learn, numpy, pandas, scipy, OOP (Object Oriented Programming) .
- Python visualization libraries π: matplotlib, seaborn, plotly and bokeh.
- Deep learning π§ : Tensorflow-Keras and Pytorch. (Computer vision and Natural Language processing).
- Machine learning π€: Supervised and unsupervised algorithms.
- Math β: Linear algebra, calculus, probability and statistics.
- Data Science π§ͺ: EDA (Exploratory Data Analysis), Data preprocessing, cleaning, analysis, feature selection, feature engineering , PCA (Principal component analysis).
- Cloud services βοΈ : GCP. AWS, Azure.
- Deployment π»: Flask, Docker, FastAPI.
- Databases π : MySQL, PostgreSQL.
- Python π : OpenCV
- Reinforcement learning π€.
- Deployment π»: Django, Pyspark, Hadoop, ApacheSpark.
- Databases π: MongoDB.
- Data visualization π: Power BI, Tableu.
- Linkedin : Juan David GarcΓa Castro