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$7 USD / hora
Bandeira do(a) MOROCCO
mohammedia, morocco
$7 USD / hora
Atualmente, está 11:02 PM aqui
Ingressou em agosto 20, 2022
1 Recomendação

Nassim B.

@nassimbaggar

annual-level-two.svg 5,0 (12 avaliações)
3,9
3,9
88%
88%
$7 USD / hora
Bandeira do(a) MOROCCO
mohammedia, morocco
$7 USD / hora
92%
Trabalhos Concluídos
100%
Dentro do Orçamento
96%
No Prazo
15%
Taxa de Recontratação

Data Scientist | Trader | Competitive Programmer

Experienced Data Scientist Engineer with expertise in web scraping, data manipulation, preprocessing, machine learning, data visualization, and code optimization. Highly skilled in designing and implementing complex data solutions to meet business requirements. Accomplished in delivering projects on-time and within budget. With a strong educational background in Computer Science and hands-on experience in diverse industries, I bring a unique perspective to every project. Looking forward to helping clients achieve their data-driven goals.
Freelancer Pine Script Developers Morocco
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Portfólio

10800816
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
10800816
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation
I developed a system for an automation tool that scrapes LinkedIn for candidates based on user-specified filters and sends automated connection requests and messages. The system was built using Python and Selenium to efficiently navigate through LinkedIn profiles, apply user-specified filters, and automate connection requests and messages. To ensure the system can handle large volumes of requests and avoid detection as a bot, I included features such as proxy support, random wait times, and error handling. The final product was a robust and scalable solution that integrated seamlessly with the frontend of the LinkedIn recruiting automation tool.
LinkedIn Recruiting Automation

Avaliações

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2,6
₹500,00 INR
Pine Script Coding for EMA Strategy
Takes so much time.....
PHP
C Programming
JavaScript
Metatrader
Pine Script
R
Bandeira do(a) D U.
@ravikumar252
•
há 2 meses
5,0
₹3.000,00 INR
Pine Script
@nassimbaggar is genius pine script master, excellent skills and so prompt. He was so patience and revised many times as requested, Will definitely work with him for my future trading strategies. highly recommended freelancer...thanks
Python
Pine Script
H
Bandeira do(a) Syed R.
@helix32
•
há 5 meses
5,0
$50,00 USD
Customize TradingView Pine Script/Strategy
good work, delivered in good quality within short time
Pine Script
Trading
Avatar do Usuário
Bandeira do(a) Andrea S.
@JSTechTrading4
•
há 5 meses
5,0
$550,00 USD
Pine Script/TradfingView Indicator for Overlay and Oscillator.
Look no further, this is your freelancer! Great communication works long hours and cares about the project. I went through two different freelancers before hiring him and I'm very happy I did. Great work! Thank you Nassim.
PHP
C Programming
Software Architecture
Metatrader
Pine Script
W
Bandeira do(a) Carson H.
@waldo307
•
há 9 meses
5,0
$20,00 USD
Project for Nassim B.
Great as always! will continue to work with Nassim
XML
Python
Shell Script
UNIX
+1 mais
Avatar do Usuário
Bandeira do(a) Adeel C.
@xadeel23x
•
há 9 meses

Experiência

Data Science intern | DBM MAROC

DBM MAROC
jun. 2019 - jul. 2019 (1 mês, 2 dias)
I had the opportunity to work as an intern for a data science project for a sales company. Even as a student, I stood out with a different perspective and view for the data the preprocessing of the data was so good that the ML model worked better than expected.

Educação

Engineer's degree

National Institute of Posts and Telecommunications, Morocco 2019 - 2022
(3 anos)

Qualificações

Python

IBM
2022
The advanced Python course certification covers advanced programming concepts like OOP, algorithms, data structures, NumPy, Pandas, Matplotlib, Scikit-learn, and web development using Django and Flask. Students will learn multi-threading, multiprocessing, parallel processing, and advanced data analysis. Upon completion, they'll be able to build complex applications.

Data Science in Python

Coursera
2022
This course teaches Python basics like lambdas, csv manipulation, and numpy library. It covers data manipulation with pandas using Series and DataFrame, and functions like groupby, merge, and pivot tables. Students will learn to clean, manipulate, and analyze tabular data with basic inferential statistical analysis.

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Verificações

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Principais Habilidades

Pine Script 8
Trading 4
Python 3
C Programming 1
Data Processing 1

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