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Mahmoud H.

@Ma7m0ud7

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Machine learning & Deep learning Eng.|Data analyst

$10 USD / Hour
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Flag of
Egypt (8:16 AM)
・
Joined on November 24, 2024
$10 USD / Hour
・
Hello! I'm a Machine Learning and Deep Learning Specialist with a strong background in Data Science with 5 years of experience , holding a degree from AAST and two years of experience at Majestic. I excel in data analysis, model development, and predictive modeling, using tools like Python, TensorFlow, and Scikit-Learn. My expertise includes processing large datasets, building ML/DL models, and applying advanced statistical techniques to drive actionable insights. I’ve delivered impactful projects in risk assessment, customer segmentation, and loan approval modeling. With a focus on quality and collaboration, I aim to turn data into innovative solutions. Let’s create something great together! ★ Computer Vision ★ Object Detection ★ Natural Language Processing ★ Deep learning ★ Machine learning ★ Artificial intelligence ★ Classification ★ Regression ★ Image Classification ★ python ★ Data Analysis ★ Data Visualization ★ Tableau ★ Power Bi ★ Excel
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Portfolio

Portfolio

12407393
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
12396447
I'm quite pleased with the results of our LSTM model for BMW stock price prediction. The model has demonstrated a strong ability to capture the underlying trends and patterns in the historical data, leading to accurate predictions.
RNN Model
12384249
"Develop a system for motion face extraction using OpenFace to analyze and track facial landmarks dynamically, enabling accurate emotion and gesture recognition
Computer Vision
"Develop a system for motion face extraction using OpenFace to analyze and track facial landmarks dynamically, enabling accurate emotion and gesture recognition
Computer Vision
12380195
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
12380182
• Data Cleaning and visualization using Power BI for helping people looking for work in other countries make work decisions based on salaries and living conditions in a simple dashboard.
Data Analysis
• Data Cleaning and visualization using Power BI for helping people looking for work in other countries make work decisions based on salaries and living conditions in a simple dashboard.
Data Analysis
12380136
I built a web scraper using Python to extract specific data from [target website(s)]. I utilized libraries like requests and Beautiful Soup 4 to fetch and parse HTML content. The extracted data was then cleaned and organized into a structured format, such as a CSV file.
Web scraping
12407393
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
This project leverages cutting-edge Natural Language Processing (NLP) models from the Hugging Face Transformers library. We utilize models such as GPT-2 for text generation, BERT for question answering, T5 for text-to-text tasks like summarization and translation, and pre-trained sentiment analysis models to understand and categorize emotional tones within text. This diverse toolkit allows for sophisticated and nuanced analysis of textual data.
NLP techniques
12396447
I'm quite pleased with the results of our LSTM model for BMW stock price prediction. The model has demonstrated a strong ability to capture the underlying trends and patterns in the historical data, leading to accurate predictions.
RNN Model
12384249
"Develop a system for motion face extraction using OpenFace to analyze and track facial landmarks dynamically, enabling accurate emotion and gesture recognition
Computer Vision
"Develop a system for motion face extraction using OpenFace to analyze and track facial landmarks dynamically, enabling accurate emotion and gesture recognition
Computer Vision
12380195
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
I analyzed a bike sales dataset using Excel Pivot Tables to gain insights into customer behavior and sales trends. I created various PivotTables to explore data by region, marital status, gender, age, commute distance, and purchase behavior. I used these insights to identify potential areas for improvement and inform business decision.
Excel Pivot Tables
12380182
• Data Cleaning and visualization using Power BI for helping people looking for work in other countries make work decisions based on salaries and living conditions in a simple dashboard.
Data Analysis
• Data Cleaning and visualization using Power BI for helping people looking for work in other countries make work decisions based on salaries and living conditions in a simple dashboard.
Data Analysis
12380136
I built a web scraper using Python to extract specific data from [target website(s)]. I utilized libraries like requests and Beautiful Soup 4 to fetch and parse HTML content. The extracted data was then cleaned and organized into a structured format, such as a CSV file.
Web scraping
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