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Hi, My name is Silvano Ross


Contact Info

email: [email protected] | 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.

Silvano Ross's Projects

arbitrage_analysis icon arbitrage_analysis

Finds discrepancies in prices between the Bitstamp and Coinbase cryptocurrency exchanges. Displays a classical example of arbitrage.

arcadetokenerc20 icon arcadetokenerc20

Creates an ethereum-based token for arcade usage. This smart contract is made using the ERC20 protocol from OpenZeppelin

aws_robo_adviser icon aws_robo_adviser

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

bank_loan_predictor icon bank_loan_predictor

Creates a feature engineering pipeline for bank loan attributes. Trains and saves a machine learning model for later deployment that predicts likelihood of loan approval based on attributes.

california_housing_predictions icon california_housing_predictions

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.

clustering_crypto icon clustering_crypto

Utilizes k-means clustering, the elbow method and principal component analysis to find recommendations in cryptocurrency data

crypto_notifier icon crypto_notifier

A CLI application that allows the user to select from the top 5 cryptocurrencies and receive a text message with a two week price analysis summary for each selected currency.

customer_churn icon customer_churn

Uses AWS Sagemaker to predict customer churn for a telecom company. S3 buckets store the data and then the session is ended by deleting the endpoints in AWS.

doorothy icon doorothy

A tiny machine learning bot that can be programmed to recognize members of the household, send text messages to everyone when someone registers or checks in and alert household members when someone is at the door.

financial_planning icon financial_planning

1. Evaluates a portfolio to determine if an emergency fund is possible. 2. Determines if retirement is likely in a 10 year time-span given past crypto and stock performance.

fintechfinderapp icon fintechfinderapp

implements inheritance and blockchain technology to establish a cryptocurrency wallet on a web application using Streamlit

fraud_oversampling_predictions icon fraud_oversampling_predictions

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 most important feature when trying to predict fraud for this dataset.

future_of_chicken icon future_of_chicken

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

home_loan_application icon home_loan_application

A CLI application that assesses a user's eligibility for home loans after entry of credentials.

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