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jahjinx/README.md

πŸ“› My Name is Jarrad

Software & Machine Learning Engineer

#!/usr/bin/python
# -*- coding: utf-8 -*-

class Human:

    def __init__(self):
        self.name = None
        self.role = None
        self.places_lived = []
        self.language_spoken = ["en_US"]
        self.job_searching = False
        self.current_location = None

    def introduce_self(self):
        print((f"Hi! My name is {self.name}. I am a {self.role} that speaks {len(self.language_spoken)}"
               f" langauges and have lived in {len(self.place_lived)} countries."))


jarrad = Human()

jarrad.name = "Jarrad Jinks"
jarrad.role = "Software Engineer"
jarrad.place_lived = ["United States", "Thailand", "Nepal", "South Korea", "Japan", "Colombia"]
jarrad.language_spoken.append("ja_JP")
jarrad.current_location = "Medellin, Colombia"

jarrad.introduce_self()

>>> Hi! My name is Jarrad Jinks. I am a Software Engineer that speaks 2 langauges and have lived in 6 countries.


πŸ† Favorite Languages & Tools

Python PyTorch Visual Studio Code Spotify

spotify-github-profile


πŸ›°οΈ Top Projects

github-readme-streak-stats github-readme-streak-stats github-readme-streak-stats github-readme-streak-stats

🧠 I Also Know

πŸ‘¨β€πŸ’» Programming & Markup Languages

CSS HTML JavaScript LaTeX Markdown PHP Python Shell Script SQL

πŸ—οΈ Frameworks & Libraries

Bootstrap Flask Matplotlib NumPy Pandas PyTorch scikit-learn SciPy TensorFlow

☁️ Databases & Cloud Hosting

AWS Amazon DynamoDB MySQL PostgreSQL SQLite

πŸ’» Software & Tools

Docker Git Jenkins Jira Jupyter Postman Stack Overflow Terraform Visual Studio Code

Pinned

  1. AI4EduRes-2023_FT-RoBERTa AI4EduRes-2023_FT-RoBERTa Public

    My presentation resources for Fine-Tuning RoBERTa: Artificial Intelligence, Data Science and Text Analytics for Education Resources Workshop. Workshop resources and presentations can be found here:…

    Python 3

  2. ML_skipception ML_skipception Public

    Experimenting with convolutional neural networks, constructing skip connections and inception layers, to classify 64x64 images across 30 and 200 labels.

  3. ML_CC-fraud ML_CC-fraud Public

    Exploring Logistic Regression, Multilayer Perceptron, and Random Forest to achieve a 98% true positive rate for instances of fraud.

    Python

  4. MLL_Library MLL_Library Public

    The Machine Learning Learning Library is a small learning resource to better understand the structure and implementation of production machine learning packages like scikit-learn. It currently cont…

    Python

  5. EDA_solarPlants EDA_solarPlants Public

    Exploring and Visualizing Inverter data for two solar power plants in India.

    Jupyter Notebook

  6. EDA-JOW_Mortality EDA-JOW_Mortality Public

    Exploring Japanese Oak Wilt Mortality Among Trees in Yamagata Prefecture.

    Jupyter Notebook