Hi, my name is

Rayan Ali.

I hunt patterns in Data.

I'm a data scientist who analyzes data to find trends and creates Power BI reports. Upcoming projects will include MLOps and Web Development.

Get in touch Resume

rayanali1083@gmail.com

01. About Me

Hello! My name is Rayan and I enjoy creating value from raw data. My interest in data science started back in 2020 when I decided to try a course on data science where I classified heart patients !

As of now, I am the Data Science Lead of Google Student Developer's Club and have contributed to projects like IOT Cyber Attack Classification, Cotton Plant Health Detection, Recommendation System, and Power BI dashboards. Currently pursuing a Bachelor's in Computer Science from FAST University, I'm actively seeking opportunities in Data Science and Machine Learning.

I love learning new technologies and I am currently learning MLOPS and how to deploy machine learning models.

Here are a few technologies I've been working with recently:

Python
MLOPS
Power BI
Sci-kit Learn
Next JS
Tailwind CSS

02. Some of My Projects

IoT Device Attack Classification
Crop Health Detection
Anime Recommender System
Power BI Dashboards
Remote Healthcare
Disaster Relief Management

IOT Cyber Attack Classification

Overview

The Edge-IIoT dataset, recognized in the top 1% in Web of Science, focuses on predicting attack types using 63 features like packet length and protocol. The model, employing Random Forest and Hyperparameter Tuning, attained an impressive 96% accuracy.

Impact

The IoT Cyber Attack Classification model offers a way to identify and classify cyber attacks, improving IoT device security and preventing cyber attacks on IoT devices.

Technology Used

Python
Tensorflow
Sklearn

UseCases

Cyber Attack Classification
Cyber Attack Identification
IoT Device Security

03. Some of My Writings

Object Detection

Object detection is a fundamental computer vision technique used to identify and locate objects within images or videos. Early object detection algorithms, such as Sliding Window, R-CNN, Fast R-CNN, and Faster R-CNN, have paved the way for more advanced approaches.

CNN Working

Convolutional neural networks (CNNs) are a type of deep learning algorithm that are used for image recognition. CNNs work by learning to identify patterns in images.

Genetic Algorithm Example

Solve the equation: 0 = (1*A + 2*B + 3*C + 4*D ) - 30 using genetic algorithm in Python to find the values of A, B, C, and D

Introduction to Genetic Algorithm

Genetic Algorithm is a 5 step algorithm which simulates the process of evolution to find optimal or near-optimal solutions for complex problems.

04. What's Next

Get In Touch

Currently I am looking for internship OR part time jobs in the field of Data Science and Machine Learning.Whether you have a question or just want to say hi, I’ll try my best to get back to you!