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👋 About Me

Hi! I'm Nicole, a coder with a passion for machine learning, specifically as it relates to the medical and/or financial industries. With a background in STEM education, I'm enthusiastic about leveraging technology to solve real-world problems and make a positive impact. I'm seeking a new role as an entry-level ML engineer, where I can apply my technical skills and passion for innovation to drive impactful solutions.

What I'm Working On 🔭:
  • Currently, I'm focusing on a stock price prediction deep learning project, utilizing the Yahoo Finance API.
  • I'm constantly expanding my knowledge in health, wellness & longevity, exploring new research to inform my projects.
  • Alongside my professional work, I'm pursuing a Master of Science in Computer Science at the University of Colorado Boulder, where I'm engaged in advanced coursework in machine learning algorithms and data science.
Technical Skills 💻:
  • Proficient in Python, with expertise in machine learning libraries such as TensorFlow, Keras, and scikit-learn.
  • Experienced in data manipulation and analysis using tools, such as NumPy & Pandas.
  • Familiar with version control systems, such as Git for collaborative development.
LinkedIn 📥: My LinkedIn Profile

nmcintyre5's Projects

accounting_helper icon accounting_helper

This Python script enables users to process financial data exported as .csv from various banks and categorize transactions for tax purposes based on predefined categorization rules.

admissionpredictionml icon admissionpredictionml

This script builds a linear regression model using PySpark to predict student admissions at Unicorn University.

cervicalcancerriskml icon cervicalcancerriskml

This script creates a ML model, utilizing an XGBoost classifier, to predict the likelihood of an individual developing cervical cancer. The script asks the user for their age, smoking status, age of first sexual intercourse, number of pregancies, and IUD status and then predicts their risk of cervical cancer based on the model output.

customersegmentation icon customersegmentation

This script performs customer segmentation analysis using K-means clustering, an unsupervised machine learning (ML) technique, on a marketing dataset.

google_cal_exporter icon google_cal_exporter

This Python script extracts events from a Google Calendar using the Google Calendar API and generates a CSV report.

heartdiseaseprediction icon heartdiseaseprediction

This Pyspark script uses a supervised machine learning to predict heart disease using Apache Spark's PySpark library.

imageclassification icon imageclassification

Basic image classification with TensorFlow and Keras. The script creates, trains, and evaluates a neural network model is able to predict digits from hand-written digits with a high degree of accuracy.

nucleicacids icon nucleicacids

This R script provides functionality for manipulating DNA and RNA sequences, including generating reverse sequences, complementary sequences, and reverse-complementary sequences.

numberpredictions icon numberpredictions

This script trains a convolutional neural network (CNN) to classify handwritten digits.

puppy_love_dog_sitting icon puppy_love_dog_sitting

Puppy Love Dog Sitting is a static webpage built using HTML and CSS, designed to provide information about a dog sitting business.

sentimentanalysis icon sentimentanalysis

This script performs a NLP sentiment analysis on X tweet data using a Naive Bayes classifier.

upcomingmeetings icon upcomingmeetings

This Python script retrieves and displays upcoming appointments, utilizing the Google Calendar API. It allows users to select a unique client to view their upcoming appointments for the next two weeks.

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