I'M A SOFTWARE ENGINEER IN SAN DIEGO, CA
Hi, my name is Mercedes and I have experience with building backend applications, machine learning/data science projects, and devops.
SERVICES
Services That I Provide
Backend Development
Build projects for clients creating and maintaining technology at the back end of a website.
Machine Learning
Build algorithms and analyze data to help improve performance and make predictions.
DevOps
Build, test, and maintain software for speedy development and release of software.
ABOUT
My Education & Experience
Education
Certificate in Software Engineering
Nucamp Coding Bootcamp
Learn how to code from scratch using web design fundamentals with HTML, CSS, JavaScript and understanding the basics of web design. Growing a better understanding of web design with full stack development using Bootstrap, React, React Native, Node js, MongoDB, and Express to create fully functional websites. Then working on the backend of websites by learning backend development with Python, SQL, Flask, Docker, Django, and DevOps that helps gather data.
Certificate in Python Development
Zero to Mastery Academy
Programming Fundamentals, Python Basics, Python Fundamentals, Data Structures, Object Oriented Programming with Python, Functional Programming with Python, Lambdas, Decorators, Generators, Testing in Python, Debugging, Error Handling, Regular Expressions, Comprehensions, Modules, Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text), File Processing: Image, CSV, PDFs, Text, Web Development with Python, Machine Learning with Python, Data Science with Python, Automation with Python and Selenium, Scripting with Python, Web Scraping with Python and BeautifulSoup, Image Detection, Data Visualizations, Kaggle, Pandas, NumPy, scikit-learn, Email and SMS with Python, Working with APIs (Twitter Bot, Password Checker, Translator)
Certificate in Machine Learning and Data Science
Zero to Mastery Academy
Data Exploration and Visualizations, Neural Networks and Deep Learning, Model Evaluation and Analysis, Python 3, Tensorflow 2.0, Numpy, Scikit-Learn, Data Visualization with MatPlotLib and Seaborn, Transfer Learning, Image recognition and classification, Train/Test and cross validation, Supervised Learning: Classification, Regression and Time Series, Decision Trees and Random Forests, Ensemble Learning, Hyperparameter Tuning, Using Pandas Data Frames, Use Pandas to handle CSV Files, Deep Learning / Neural Networks with TensorFlow 2.0 and Keras, Using Kaggle and entering Machine Learning competitions, How to clean and prepare your data for analysis, K Nearest Neighbours, Support Vector Machines, Regression analysis (Linear Regression/Polynomial Regression), How Hadoop, Apache Spark, Kafka, and Apache Flink are used, Setting up environment with Conda, MiniConda, and Jupyter Notebooks, Using GPUs with Google Colab
Experience
Freelance Engineer
mercedessandstech
Build backend applications for websites, build models and analyze data to help improve performance and make predictions, and build, test, and maintain software for speedy development and release of software for clients.