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silvanoross/README.md

Hi, My name is Silvano Ross


Contact Info

email: silvanorossml@gmail.com | LinkedIn


Summary

As a data scientist, I am dedicated to transforming complex data into valuable insights that drive informed decisions and create a tangible impact for both businesses and humanity as a whole. With a passion for problem-solving and a deep understanding of research, statistical analysis and machine learning techniques, I excel at uncovering patterns, identifying trends, and delivering actionable solutions. I am committed to continuous learning and staying at the forefront of the latest advancements in data science. Through meticulous planning and effective project management, I have contributed to conducting extensive data collection and analysis to publish a scientific research article in Nature Neuroscience.

Beyond academic achievements, I am driven by a strong sense of purpose to use my skills for the greater good. I am passionate about leveraging extensive data analysis to improve the lives of healthcare patients. By analyzing vast healthcare datasets, I continue to identify patterns and trends that have the potential to enhance medical treatments, optimize care delivery, and promote preventive measures. My approach is to pursue every data challenge with unwavering enthusiasm, aiming to make a meaningful impact and push the boundaries of data-driven knowledge.

I have started the Master of Science in Information Management program at the University of Washington with a specialization in Data Science and will graduate in 2025. I am excited to continue my education and further develop my skills in technology and machine learning. I am confident that my background and enthusiasm will allow me to make a positive impact on the world of healthcare and machine learning.

Eager to network and connect with others to learn more about what opportunities exist in the realm of technology and healthcare. I strive to be a positive force in spaces I find myself in and learn from and collaborate with other amazing individuals.

Outside of work, I enjoy producing music, singing, writing, running, swimming, and weightlifting. I'm also a big fan of technology and innovation, and I'm always looking for new ways to use technology to improve the world around me.

Pinned

  1. California_Housing_Predictions California_Housing_Predictions Public

    This takes ML project takes data from the StatLib repository on California Housing Prices, shows current demographics and predicts what housing prices will be in the coming years.

    Jupyter Notebook

  2. Future_of_Chicken Future_of_Chicken Public

    Establishing a basis for predicting the cost of chicken in the near future with two different ML models

    Jupyter Notebook

  3. MINTmarketPlace MINTmarketPlace Public

    Forked from stipptracie/MINTmarketPlace

    Blends ERC20 fungible token contracts with ERC721 non-fungible token contracts in a Streamlit web application. The user to mint a NFT will receive a reward of fungible tokens associated with the st…

    Python 2

  4. AWS_Robo_Adviser AWS_Robo_Adviser Public

    Lex bot created using AWS Lex and Lambda functions to deliver an automated chat service detailing risk on an investment.

    Python

  5. Fraud_Oversampling_Predictions Fraud_Oversampling_Predictions Public

    This notebook trains a linear regression model with regular fraud data and oversampled fraud data and compares the accuracy of both models. Finally, it uses a Decision Tree model to discover the mo…

    Jupyter Notebook

  6. MammographicMassMalignancyPredictor MammographicMassMalignancyPredictor Public

    Creates a Random Forest Regressor and Mulit-Layer Perceptron model then explains individual predictions with LimeTabularExplainer.

    Jupyter Notebook