Daniel Atoche

About Me

Experience and Key Skills

Machine Learning Algorithm Development

• Utilized Python, SQL, scikit-learn, TensorFlow, and Keras to develop machine learning models.
• Implemented image processing techniques and time series forecasting in Machine Learning projects.
• Built and validated supervised and unsupervised models like KMeans, linear and logistic regression, random forests, and XGBoost.
• Optimized hyperparameters and effectively communicated results.

Web Development and APIs

• Created APIs using FastAPI and developed web applications using Django.
• Managed databases in PostgreSQL and deployed applications on Heroku, Docker, and DigitalOcean.

Additional Technologies

• Proficient in Matplotlib, numpy, pandas, Colab, Hadoop, Apache Spark, Kafka, Google Cloud, and Snowflake.
• Familiarity with Convolutional Neural Networks (CNNs).

Data Visualization

• Proficient in data visualization tools such as Power BI and Tableau.
• Created interactive dashboards and reports to visualize insights from data.

Cloud Platforms and Data Warehousing

• Experience with Google Cloud Platform (GCP), IBM, Microsoft Azure, and Snowflake for cloud computing and data warehousing solutions.
• Managed data pipelines, storage, and processing on cloud platforms.

Featured Projects [Under Construction 🚧]

Churn Prediction System for Waze

• Developed a Machine Learning model to predict user churn in the Waze application.

Opinion Identification in TikTok Videos

• Implemented a machine learning model to identify claims and opinions in TikTok videos.

Taxi Fare Estimation for Automatidata

• Built a regression model to estimate taxi fares in New York City.

Education

• Instituto Tecnológico de Costa Rica: Bachelor of Science in Computer Science.

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