Freelancer -logo Kuinka se toimii Selaa töitä Kirjaudu sisään Rekisteröidy Ilmoita projektiProfile cover photoundefined
Seuraat nyt käyttäjää .
Virhe seurattaessa käyttäjää.
Tämä käyttäjä ei salli käyttäjien seurata häntä.
Seuraat jo tätä käyttäjää.
Jäsenyystasosi mahdollistaa vain 0 seurausta. Päivitä tästä.
Poistit käyttäjän seurannan onnistuneesti.
Virhe poistettaessa käyttäjän seurantaa.
Olet onnistuneesti suositellut käyttäjää
Virhe suositeltaessa käyttäjää.
Jokin meni vikaan. Päivitä sivu ja yritä uudelleen.
Sähköposti vahvistettu onnistuneesti.
Käyttäjän avatar
 $12 USD / tunti
Maan EGYPT lippu
giza, egypt
$12 USD / tunti
Kello on tällä hetkellä 6:19 ap. täällä
Liittynyt kesäkuuta 13, 2022
0 Suosittelee

Sohaila E.

@SohailaDiab

 5,0 (1 arvostelu)
0,0
0,0
$12 USD / tunti
Maan EGYPT lippu
giza, egypt
$12 USD / tunti
100 %
Suoritetut työt
100 %
Budjetin mukaisesti
100 %
Aikataulussa
Ei saatavilla
Uudelleenpalkkausaste

Data Analyst | Machine Learning | Python Developer

Hello! I am a CS student in Cairo University, passionate about working with data to get fascinating results. I'm an experienced data analyst, ML engineer and Python developer. I have been working on data analysis and machine learning projects for more than a year now, and my core expertise are: - Python - Machine learning with Sklearn, PyTorch, TensorFlow, and Keras - Data Analysis using Pandas, Matplotlib, NumPy, Plotly, and Seaborn - SQL Server and MySQL - Deep Learning with PyTorch Some of my projects: - Parkinson's Disease hand drawing image classification using CNNs and transfer learning - No Show Appointments Data Analysis - U.S. Bikeshare data analysis with an interactive Python environment - Sentiment Analysis on Movie Reviews using Logistic Regression - Real Estate Price Prediction using XGBRegression - Bank Management System using SQL Server and C# to create a web app I am also currently a Machine Learning head in Google Developer Student Clubs. I led and worked with my team of 10 to host a successful machine learning workshop with over 60 students. I am looking forward to working with you!
Freelancer Machine Learning Experts Egypt
Katso kaikki Machine Learning Experts paikassa Egypt

Ota yhteyttä käyttäjään Sohaila E. työhösi liittyen

Kirjaudu sisään keskustellaksesi yksityiskohdista chatin välityksellä.

Portfoliokohteet

- Built a Logistic Regression model to predict what is the sentiment of each movie review phrase on a scale of 1-5. - Achieved a Kaggle score of 61% and was one of the top 50%. Notebook: https://www.kaggle.com/code/sohailadiab/movie-reviews-data-modeling
Sentiment Analysis on Movie Reviews
- Earned a bronze medal for this project on Kaggle. - Built an XGBRegression model to predict the price of a unit area of a house given its features. - Achieved a score of 78% Notebook: https://www.kaggle.com/code/sohailadiab/real-estate-price-prediction
Real Estate Price Prediction
- Earned a bronze medal for this project on Kaggle. - Built an XGBRegression model to predict the price of a unit area of a house given its features. - Achieved a score of 78% Notebook: https://www.kaggle.com/code/sohailadiab/real-estate-price-prediction
Real Estate Price Prediction
- Earned a bronze medal for this project on Kaggle. - Built an XGBRegression model to predict the price of a unit area of a house given its features. - Achieved a score of 78% Notebook: https://www.kaggle.com/code/sohailadiab/real-estate-price-prediction
Real Estate Price Prediction
- Earned a bronze medal for this project on Kaggle. - Built an XGBRegression model to predict the price of a unit area of a house given its features. - Achieved a score of 78% Notebook: https://www.kaggle.com/code/sohailadiab/real-estate-price-prediction
Real Estate Price Prediction
- Earned a bronze medal for this project on Kaggle. - Built an XGBRegression model to predict the price of a unit area of a house given its features. - Achieved a score of 78% Notebook: https://www.kaggle.com/code/sohailadiab/real-estate-price-prediction
Real Estate Price Prediction
Certificate for completion of Data Analysis Advanced Nanodegree at Udacity. During the Nanodegree program, I completed two projects: 1. No Show Appointments Data Analysis – Notebook(https://github.com/SohailaDiab/No-Show-Appointments-DataAnalysis/blob/main/MedicalAppointmentNoShows_Analysis.ipynb) • Was able to come up with several possible conclusions to why 30% of patients miss their scheduled appointments. • Went throught the data analysis process: - Understanding the business question - Data Wrangling (Gathering, Assessing, and Cleaning the data) - Exploratory Data Analysis 2. Explore U.S. Bikeshare Data – Code(https://github.com/SohailaDiab/Explore-U.S.-Bikeshare-Data/blob/master/bikeshare_2.py) Built a user-friendly interactive environment that filtered the data according to the user’s needs (input) and calculated statistics to analyze U.S. Bikeshare dataset using Python and Pandas.
Udacity Advanced Data Analysis Nanodegree
Certificate for completion of Data Analysis Advanced Nanodegree at Udacity. During the Nanodegree program, I completed two projects: 1. No Show Appointments Data Analysis – Notebook(https://github.com/SohailaDiab/No-Show-Appointments-DataAnalysis/blob/main/MedicalAppointmentNoShows_Analysis.ipynb) • Was able to come up with several possible conclusions to why 30% of patients miss their scheduled appointments. • Went throught the data analysis process: - Understanding the business question - Data Wrangling (Gathering, Assessing, and Cleaning the data) - Exploratory Data Analysis 2. Explore U.S. Bikeshare Data – Code(https://github.com/SohailaDiab/Explore-U.S.-Bikeshare-Data/blob/master/bikeshare_2.py) Built a user-friendly interactive environment that filtered the data according to the user’s needs (input) and calculated statistics to analyze U.S. Bikeshare dataset using Python and Pandas.
Udacity Advanced Data Analysis Nanodegree
Certificate for completion of Data Analysis Advanced Nanodegree at Udacity. During the Nanodegree program, I completed two projects: 1. No Show Appointments Data Analysis – Notebook(https://github.com/SohailaDiab/No-Show-Appointments-DataAnalysis/blob/main/MedicalAppointmentNoShows_Analysis.ipynb) • Was able to come up with several possible conclusions to why 30% of patients miss their scheduled appointments. • Went throught the data analysis process: - Understanding the business question - Data Wrangling (Gathering, Assessing, and Cleaning the data) - Exploratory Data Analysis 2. Explore U.S. Bikeshare Data – Code(https://github.com/SohailaDiab/Explore-U.S.-Bikeshare-Data/blob/master/bikeshare_2.py) Built a user-friendly interactive environment that filtered the data according to the user’s needs (input) and calculated statistics to analyze U.S. Bikeshare dataset using Python and Pandas.
Udacity Advanced Data Analysis Nanodegree
- Database Design Project (SQL). Developed a bank management system to store, manipulate and display bank information for customers and employees. - Designed an ER model and translated the model to a relational schema. - Created and implemented a desktop application using C# and SQL Server.
Bank Management System
- Database Design Project (SQL). Developed a bank management system to store, manipulate and display bank information for customers and employees. - Designed an ER model and translated the model to a relational schema. - Created and implemented a desktop application using C# and SQL Server.
Bank Management System
Bank Management System
Bank Management System
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: - Pytorch - Multi-Layer Perceptrons - Fine-tuning - Convolutional Neural Networks - Natural Language Processing - Reinforcement Learning - Computer Vision - Completed a computer vision project titled "Parkinson's Disease Detection", which evaluates the research question: “Can we predict if a person is healthy or has Parkinson’s Disease based on their drawing of a spiral?” - Implemented a CNN model using transfer learning (used ResNet18 model). - Applied image augmentation, such as random horizontal flip, to increase accuracy. - Achieved a score of 68.5%
Neuromatch Academy Deep Learning
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: - Pytorch - Multi-Layer Perceptrons - Fine-tuning - Convolutional Neural Networks - Natural Language Processing - Reinforcement Learning - Computer Vision - Completed a computer vision project titled "Parkinson's Disease Detection", which evaluates the research question: “Can we predict if a person is healthy or has Parkinson’s Disease based on their drawing of a spiral?” - Implemented a CNN model using transfer learning (used ResNet18 model). - Applied image augmentation, such as random horizontal flip, to increase accuracy. - Achieved a score of 68.5%
Neuromatch Academy Deep Learning
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: - Pytorch - Multi-Layer Perceptrons - Fine-tuning - Convolutional Neural Networks - Natural Language Processing - Reinforcement Learning - Computer Vision - Completed a computer vision project titled "Parkinson's Disease Detection", which evaluates the research question: “Can we predict if a person is healthy or has Parkinson’s Disease based on their drawing of a spiral?” - Implemented a CNN model using transfer learning (used ResNet18 model). - Applied image augmentation, such as random horizontal flip, to increase accuracy. - Achieved a score of 68.5%
Neuromatch Academy Deep Learning
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: - Pytorch - Multi-Layer Perceptrons - Fine-tuning - Convolutional Neural Networks - Natural Language Processing - Reinforcement Learning - Computer Vision - Completed a computer vision project titled "Parkinson's Disease Detection", which evaluates the research question: “Can we predict if a person is healthy or has Parkinson’s Disease based on their drawing of a spiral?” - Implemented a CNN model using transfer learning (used ResNet18 model). - Applied image augmentation, such as random horizontal flip, to increase accuracy. - Achieved a score of 68.5%
Neuromatch Academy Deep Learning
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: - Pytorch - Multi-Layer Perceptrons - Fine-tuning - Convolutional Neural Networks - Natural Language Processing - Reinforcement Learning - Computer Vision - Completed a computer vision project titled "Parkinson's Disease Detection", which evaluates the research question: “Can we predict if a person is healthy or has Parkinson’s Disease based on their drawing of a spiral?” - Implemented a CNN model using transfer learning (used ResNet18 model). - Applied image augmentation, such as random horizontal flip, to increase accuracy. - Achieved a score of 68.5%
Neuromatch Academy Deep Learning

Arvostelut

Muutokset tallennettu
Näytetään 1 - 1 / 1 arvostelua
Suodata arvosteluja: 5,0
$10,00 USD
Online Survey: Seeking Qualified Respondents for an Online Survey on Machine Learning Experiment Tools (Maximum 15 USD) -- 7
Sohaila delivered on time and within budget. Thanks for the quick and helpful input.
Machine Learning (ML) Artificial Intelligence Scikit Learn Tensorflow Deep Learning
S
Maan lippu Samuel I. @samuelid
•
6 kuukautta sitten

Kokemus

Machine Learning Head

Google Developer Student Clubs
syysk. 2021 - Voimassa
- Led a team of 10 to host a successful machine learning workshop with 60+ students. - Worked with the team to organize tech talks for students given by field experts.

Pätevyydet

Deep Learning Academy

Neuromatch Academy
2022
- An intensive 3-week deep learning academy. - Learned important DL fundamentals with hands-on exercises: Pytorch, Multi-Layer Perceptrons, Fine-tuning, Convolutional Neural Networks, Natural Language Processing, Reinforcement Learning. - Completed a computer vision project titled "Parkinson's Disease Detection".

Data Analysis Professional Nanodegree Program

Udacity
2022
- Learned how to efficiently use Python, NumPy and Pandas for data analysis. - Learned how to perform the entire data analysis process: - Understanding the business question - Data Wrangling (Gathering, Assessing, and Cleaning the data) - Exploratory Data Analysis - Worked on multiple datasets, and made 2 data analysis final projects.

Artificial Intelligence Training

ITIDA and NTI
2021
- Successfully completed the summer training course for the duration of 4 weeks (120 hours) Consisted of: - Math and Statistics - Machine Learning - Deep Learning with Tensorflow and Keras - General Skills: Communication Skills, Interview Skills, Presentation Skills - Leadership Skills, Teamwork Skills, Decision Making and Problem Solving Skills, Time Management Skills - Freelancing Skills, Introduction To Information Security and Privacy

Ota yhteyttä käyttäjään Sohaila E. työhösi liittyen

Kirjaudu sisään keskustellaksesi yksityiskohdista chatin välityksellä.

Varmennukset

Suositeltu freelanceri
Henkilöllisyys varmennettu
Maksutapa varmennettu
Puhelinnumero varmennettu
Sähköpostiosoite varmennettu
Facebook yhdistetty

Parhaat taidot

Machine Learning (ML) 1 Deep Learning 1 Python Data Processing SQL

Selaa vastaavia freelancereita

Machine Learning Experts in Egypt
Machine Learning Experts
Deep Learning Specialists
Python Developers

Selaa vastaavia näyteikkunoita

Machine Learning (ML)
Deep Learning
Python
Data Processing
Edellinen käyttäjä Seuraava käyttäjä
Kutsu lähetetty onnistuneesti!
Freelancer -logo
 Finland / Suomi
Asiakastuki Freelanceri Luokat Projektit Kilpailut Freelancerit Yrityksille Jäsenyys Suositeltujen freelancerien ohjelma Projektien hallinta Paikalliset työt Photo Anywhere Näyteikkuna API kehittäjille Vahvista tilisi Työpöytäsovellus Tietoa Tietoa meistä Kuinka tämä toimii Urat Turvallisuus Sijoittajat Sivukartta Tarinoita Uutisia Ehdot Tietosuojakäytäntö Käyttöehdot Tekijänoikeuskäytännöt Käyttäytymissäännöt Kulut ja veloitukset Partnerit Escrow.com LoadshiftWarrior Forum Sovellukset Applen sovelluskauppa -logoGoogle Play -logo
Kopiointi leikepöydälle epäonnistui. Yritä uudelleen, kun olet muuttanut käyttöoikeuksiasi.
Kopioitu leikepöydälle.
Rekisteröitynyttä käyttäjää Ilmoitettua työtä yhteensä
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2023 Freelancer Technology Pty Limited (ACN 142 189 759)
Ladataan esikatselua
Lupa myönnetty Geolocation.
Kirjautumisistuntosi on vanhentunut ja sinut on kirjattu ulos. Kirjaudu uudelleen sisään.