Data Scientist | Machine Learning

Black swans are events that are 'outliers', seemingly random but with impact on our world.
It is impossible to predict these events, even though they are ultimately consequential.

RAG: Personal Assistant Qatar HR Law and Directive

A demonstration on a RAG app framework using data from Qatar's HR Law and HR Directive (2016).

PandasGPTAgent

Chat with your data utilizing powerful AI capabilities (OpenAI & LangChain).

YOLOv3 Data Proprocessing and Training Tool

A set of tools gathered and modified to fit the need on preprocessing computer vision datasets when preparing Yolov3 model.

Face Masks and Social Distance Violation

Utilize Deep Learning model to detect face masks and social distance violation (Estimate).

WC2022 Prediction

Utilizing Deep Learning to predict of FIFA WC2022 qualifiers & final winner (Unfortunately Argentina Surprised Us With A Fantastic Performance).

Advanced Vision, Motion, and Image Analysis (Camera Calibration)

Exercise on camera calibration and image reflection including depth estimation, 3D reconstruction, optical flow, object detection, and movement characteristics.

ML Question Pairing

A repository that contains ML algorithms and processing on a question-paring dataset from Kaggle (Text Processing, Categorical Encoding, Advanced Feature Engineering, Binary Classification).

Simulation of Self-Driving Car Using QL and DQL

Exercise simulating a self-driving car using reinforcement learning Q-Learning (QL) and Deep Q-Learning (DQL).

Cancer Medical Treatment

A repository that contains practice code for ML algorithms implementation on a cancer treatment medical dataset from Kaggle (Text Processing, Response Encoding, Feature Engineering, Classification).

Text Sentimental Analysis

Text Sentimental Analysis using Natural Language Toolkit (NLTK).

Image Classification Using CNN

CNN model to read, process, and classify images into classes (motorbike, dog, airplane, flower, fruit, cat, person, car).

Facilitating Data Preparation and Processing Through Clustering Algorithms

Find optimal number of clusters using kmeans elbow method and dendrogram hierarchical clustering, analysis to assess within-cluster variance and inter-cluster linkage.

Movies Correlation Analysis

Understanding the high correlations between the quantitative and categorical features of movies released 1980 - 2020.

Movies Correlation Analysis

Understanding the high correlations between the quantitative and categorical features of movies released 1980 - 2020.

Web Scraping WC2022 Accommodation in Qatar

Extracting the list of official accommodations listed for WC2022.

Automate Medical Encoding

Automate dataset creation from minimal list of diseases along with their corresponding diseases (Feature Engineer & Medical Encode).

Web Scrapper

Creates dataset using content scrapped from website(s)

Data Storytelling & Interactive Visuals

Transforming complex data into clear, compelling visual stories, and dashboards. This project showcases interactive visuals that uncover hidden (insights, trends, and correlations) to support informed decision-making through intuitive storytelling.

GIS Qatar Map

Built Qatar Map using QGIS that can be used for geographical mapping and as a choropleth to visualize distribution for the state of Qatar by Municipality and Zone.

Coronavirus Stat Visualization

Visualize coronavirus stats based on ourworldindata.org/covid-deaths

Handle Scanned PDF

A wrapper on top of python-OCR tools such as pytesseract and easyocr, to recognize and extract text embedded in images. Also, convert scanned-PDFs to text searchable PDFs.

Osama Hussein - ORCID Profile

ORCID (Open Researcher & Contributor ID) is a registry of unique identifiers for researchers and scholars that is open, non-profit, transparent, mobile and community-based.

RNN Applied to Motion Capture

The research aims to apply Recurrent Neural network (RNN) specifically LSTM to classify motion activities and human gait.

Household Smart Farming Techniques: A Post-Pandemic Review

A review that focuses on the adaption of new technologies in post-pandemic household farming by sheding a light on various smart farming techniques and products.