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Hi there, I'm Rihad 👋

A Machine Learning Engineer!

🌱 As a seasoned Machine Learning Engineer, I specialize in tackling intricate challenges through the application of cutting-edge machine learning techniques. With a profound understanding of the theoretical foundations and practical nuances of the field, I excel at architecting and implementing innovative solutions that leverage data to derive actionable insights.

My expertise encompasses the entire machine learning pipeline, from data preprocessing and feature engineering to model development, training, and deployment. I am adept at working with diverse datasets and employing a range of algorithms to address complex problems in domains such as computer vision, natural language processing, and predictive analytics.

In addition to my technical proficiency, I possess strong analytical and problem-solving skills, enabling me to decipher intricate patterns within data and devise robust solutions. My commitment to staying abreast of the latest advancements in machine learning ensures that I bring a forward-thinking approach to every project.

I am passionate about leveraging my skills to contribute meaningfully to the intersection of technology and data, ultimately driving innovation and solving real-world challenges. Whether it's optimizing existing processes, developing predictive models, or pioneering new methodologies, I am dedicated to pushing the boundaries of what machine learning can achieve.

💼 Technical Skills

C# LaTeX Markdown Python Pandas NumPy Plotly scikit-learn SciPy R Shell Script Anaconda Heroku Terraform Atom .Net Jupyter Notebook AWS Visual Studio Code



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Rihad Variawa's Projects

mljar-supervised icon mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

move37 icon move37

Coding Demos from the School of AI's Move37 Course

move_37_syllabus icon move_37_syllabus

This is the syllabus for "Move 37", Siraj Raval's new course at School of AI

musamasterclass icon musamasterclass

My masterclass hosted by the Penn MUSA department on 3D mapping and visualization in R

notebooks icon notebooks

Trading Economics Python Jupyter Notebooks showcase how everyone can make insights and data science. Trading Economics has more than 20 million indicators from 196 countries plus historical, delayed and live quotes for exchange rates, stocks, indexes, bonds and commodity prices

og-aws icon og-aws

📙 Amazon Web Services — a practical guide

open-sora icon open-sora

Open-Sora: Democratizing Efficient Video Production for All

opentofu icon opentofu

OpenTofu lets you declaratively manage your cloud infrastructure.

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