Logo de Freelancer Cómo funcionaBusca trabajos
Iniciar sesión Registrarse
Publica un proyecto
Foto de portada de perfil
Ahora estás siguiendo a
Error al seguir a usuario.
Este usuario no permite que los usuarios lo sigan.
Ya estás siguiendo a este usuario.
Tu plan de membresía solo permite 0 seguimientos. Mejora tu membresía aquí.
Dejaste de seguir correctamente a
Error al dejar de seguir al usuario.
Has recomendado exitosamente a
Error al recomendar al usuario.
Algo salió mal. Por favor, actualiza la página e intenta de nuevo.
Email verificado correctamente.
Avatar del usuario
$7 USD / hora
Bandera de EGYPT
cairo, egypt
$7 USD / hora
Aquí son las 4:56 a. m.
Se unió el febrero 8, 2017
0 Recomendaciones

Aseel A.

@aseelfaroukali

 0,0 (0 comentarios)
0,0
0,0
0%
0%
$7 USD / hora
Bandera de EGYPT
cairo, egypt
$7 USD / hora
N/A
Trabajos finalizados
N/A
Dentro del presupuesto
N/A
A tiempo
N/A
Tasa de recontratación

Data Analyst \ Data Visualizer

As a certified data analyst and visualizer, detailed and skillful, I have worked on many data projects and skills including: - Python (Numpy, Pandas, Seaborn, Matplotlib...etc.) - SQL (PostgreSQL, MySQL, SQL server...etc.) - Tableau - Power BI - Web scraping ( selenium, BeautifulSoup, scrapy) - Excel and google sheets I’ll be happy to help you on any data project requiring any of the following: - Data scraping from the web and storing in any desired format - Data cleaning and processing - Investigating datasets - Visualizing data, creating dashboards, and stories - Report writing in first-rate - Machine learning tools, Hypothesis testing, and bootstrapping - Business analysis and Forecast modeling
Freelancer Data Processing Executives Egypt
Ver todo Data Processing Executives en Egypt

Contacta Aseel A. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Portafolio

10900612
This is a Python user-interactive script that computes a variety of descriptive statistics based on the dataset of a bike share system for 3 of the major USA cities: Chicago, New York City, and Washington DC. The code is designed for the user to determine the city and time frame ( month and day of the week) on which he wishes to do the data analysis. Please find the video in my portfolio where I run the script on the terminal for more details.
Python interactive script for bikeshare project
10900661
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900659
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900658
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900657
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900652
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900612
This is a Python user-interactive script that computes a variety of descriptive statistics based on the dataset of a bike share system for 3 of the major USA cities: Chicago, New York City, and Washington DC. The code is designed for the user to determine the city and time frame ( month and day of the week) on which he wishes to do the data analysis. Please find the video in my portfolio where I run the script on the terminal for more details.
Python interactive script for bikeshare project
10900661
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900659
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900658
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900657
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]
10900652
This data set contains information about 10,000 movies collected from The Movie Database (TMDb). It includes movies that were released from 1966 till 2015. The task was to explore popular movie types and genres, which types are the most produced, which types get the highest revenues, and which get the higher watcher's votes, and write a conclusion recommendation report based on the exploration findings.
Investigating a Dataset - [TMDb Movie Data]

Comentarios

Cambios guardados
¡No hay comentarios para ver aquí!

Experiencia

data analyst

udacity
jun 2021 - ene 2023 (1 año, 7 meses)
I hold a Nano-degree certification from Udacity in data analysis. My study included all data analytics required skills from python and SQL, data cleaning, wrangling, establishing facts, drawing conclusions associating explicit explanatory visualizations, and report writing. In addition to machine learning and A/B testing with real data projects. I have very good knowledge of various statistical methods such as descriptive and inferential statistics.

Educación

Bachelor of Science in Architecture, Faculty of Engineering

Cairo University, Egypt 1999 - 2004
(5 años)

Calificaciones

Data Analysis Nanodegree

Udacity
2021
This nano degree is of 3 programs: challenger, professional, and advanced. It covers all data analytics required skills.

Contacta Aseel A. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

Freelancer preferente
Identidad verificada
Pago verificado
Teléfono verificado
Email verificado
Facebook conectado

Principales habilidades

Data Processing
Data Entry
Excel
Building Architecture
Data Mining

Explorar freelancers similares

Data Processing Executives in Egypt
Data Processing Executives
Data Entry Clerks
Excel Experts

Explorar galerías similares

Data Processing
Data Entry
Excel
Building Architecture
Usuario anterior Usuario siguiente
¡Invitación enviada correctamente!
¡Gracias! Te hemos enviado un enlace para reclamar tu crédito gratuito.
Algo salió mal al enviar tu correo electrónico. Por favor, intenta de nuevo.
Logo de Freelancer Ecuador / Español Ayuda y soporte Freelancer CategoríasProyectos Concursos Freelancers Empresarial MembresíaPrograma de Freelancers Preferentes Gestión del proyecto Trabajos localesPhoto Anywhere GaleríaAPI para desarrolladoresVerifícate Software de escritorio Información Quiénes somos Cómo funciona Seguridad Inversionista Mapa del sitio Historias NoticiasEquipoPremiosComunicados de prensaEmpleos Términos Política de privacidadTérminos y condicionesPolítica de derechos de autorCódigo de conductaCargos y TarifasSociosEscrow.comLoadshiftWarrior Forum Apps Logo de "App Store" de AppleLogo de Google Play
Falló el copiado al portapapeles. Intenta de nuevo después de ajustar tus permisos.
Copiado al portapapeles.
Usuarios registrados Total de empleos publicados
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Cargando visualización previa
Permiso concedido para Geolocalización.
Tu sesión de acceso ha expirado y has sido desconectado. Por favor, inica sesión nuevamente.