tendaishoko Goto Github PK

followers: 4.0 following: 7.0 repos: 52.0 gists: 7.0

Name: Tendai

Type: User

Bio: Data Scientist ,Full time uncle .

Twitter: 06_shoki

Location: South Africa

Hi there, I'm Tendai 👋

Data Scientist | AI Engineer | RPA Engineer |

🚀 About Me

I am a Data Scientist with 4+ years of experience in Object-Oriented Programming (Python), DevOps, business intelligence, and expertise in leveraging machine learning and deep learning to solve real-life problems.

As a Senior Data Scientist , I am driving the development and maintenance of high-impact ML systems across continents, pioneering Generative AI adoption in diverse domains. I leverage AWS and Azure services to build and optimize batch and real-time data pipelines, enabling seamless data integration and analysis for various internal clients. I also contribute to design discussions and documentation using Confluence and JIRA, ensuring clear communication and collaboration within and across teams.

I am currently pursuing a Masters of Artificial Intelligence from the University of Johannesburg, where I am learning the latest techniques and applications of AI in various fields. I am passionate about continuous learning, especially in AI, and using data-driven insights to elevate business operations and customer satisfaction.

👯 I’m looking to collaborate on

Artificial Intelligence Solutions
Machine Learning Projects
Robotic Process Automation Projects

Ask me about

Collaborative filtering models Business-focused ML Projects

Tools I work with

AI/ML/Data Science:

CI/CD:

Amazon Web Services (AWS):

Reporting:

Proficiency:

Applications:

Web Development:

Connect With Me

[email protected]

Tendai 's Projects

100-days-of-ml-code

100 Days of ML Coding

aman-ai

iPython Notebooks for NumPy and Python Primers

animal-classification-

Team Project

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-dynamic-pricing

😎 awesome dynamic pricing 💵

awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

aws-machine-learning-foundations-scholarship

Udacity AWS ML Foundations Scholarship Course Walkthrough

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

berkely_deeprl

CS 294 Berkeley Deep RL

case_study

content-aws-mls-c01

AWS Certified Machine Learning - Specialty (MLS-C01)

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

credit-deployment-aws

cs-video-courses

List of Computer Science courses with video lectures.

data-science-wg

SF Brigade's Data Science Working Group.

datascience

Repository to maintain all my clutter

datasciencecheatsheet

dengai-predicting-disease-spread

Machine Learning Course Project

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.