Mohamed I. Profile

KEŞFEDİN

1,0

(1 değerlendirme)

Şu anda adlı kullanıcıyı takip ediyorsunuz

Kullanıcıyı takip etmede hata.

Bu kullanıcı kullanıcıların kendisini takip etmesine izin vermiyor.

Zaten bu kullanıcıyı takip ediyorsunuz.

Üyelik planınız sadece 0 takibe izin veriyor. Buradan yükseltme yapın.

başarılı bir şekilde takipten çıkarıldı

Kullanıcının takip edilmesinde hata.

adlı kullanıcıyı başarılı bir şekilde tavsiye ettiniz

Kullanıcıyı tavsiye etmede hata.

Bir şeyler yanlış gitti. Lütfen sayfayı yenileyin ve tekrar deneyin.

E-posta başarılı bir şekilde doğrulandı.

$30 USD / saat

azilal,

morocco

$30 USD / saat

Şu anda burada saat 10:47 ÖS

Ekim 24, 2019 tarihinde katıldı

1 Öneriler

Mohamed I.

@isbainemouhamed

1,0

(1 değerlendirme)

1,6

100%

$30 USD / saat

azilal,

morocco

$30 USD / saat

%100

Tamamlanmış İş

Mevcut değil

Bütçe Dahilinde

Mevcut değil

Zamanında

%50

Tekrar İşe Alınma Oranı

Data Engineer

Are you ready to harness the full potential of your data? I'm here to build you a scalable, cloud-based data platform that covers everything from data ingestion to visualization, ensuring your data is processed, stored and ready to consume based on your requirements ✔ Batch & Stream Processing using cloud services ✔ SQL & NoSQL data ✔ GCP & Azure Integration ✔ Generative AI : Azure Openai service/GPT4 GPT3, prompt engineering ⚙ Services: ✔ Web Scraping / Data Scraping (Python, GCP, Azure) ✔ ETL Magic with Azure Data Factory ✔ API Data Extraction ✔ Data Analysis ✔ Data Warehousing (BigQuery, Synapse Analytics) ✔ Automation Guru ✔ Stunning Visualization & Dashboards (Plotly, Matplotlib, Seaborn) Let's supercharge your data journey. I'm here to turn your data into insights and drive your success! Reach out, and let's make your data work for you. ??? Tools: - Programming languages: Python, SQL, Bash scripting - Databases: MySQL, SQL Server, PostgreSQL (Cloud SQL), MongoDB, - Data warehouses & lakes: Google BigQuery, Google Cloud Storage, Amazon S3. - Data pipeline tools: Google Cloud Pub/Sub, Google Cloud DataFlow, Apache Kafka, Apache Airflow. - Data Extraction automation: Selenium, BeautifulSoup (BS4), requests - Data Visualization: Power BI, IBM Cognos, Pandas, Plotly - Big Data: Hadoop, Spark, Google Cloud DataProc. - Data formats: JSON, XML, CSV, Avro, Parquet - Containerization and Orchestration: Docker, Terraform. - Version control and CI\CD: Git, Github, Azure DevOps, - Cloud computing platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure. - Web Development: Flask, Fast API, HTML, CSS

Python Developers freelancerlarından Morocco içinden olanlarının tümünü görün.

Mohamed I. ile işiniz hakkında iletişime geçin

Detayları sohbet üzerinden tartışmak için giriş yapın.

Portföy

Pricing a car can usually be a difficult task even for car enthusiasts and experts because cars have many features that affect prices more or less strongly, which could lead people without any knowledge of vehicles to be easily ripped off. To solve this kind of problem, I have developed a machine-learning regression model to price cars more accurately, or at least get an idea of the price range.
To get our train data, I have scraped cars data from a local cars vendor using selenium.

Cars Data Scraping using selenium

9904790

In this project, I have trained Naive Bayes, Logistic regression, Decision Tree, and Random Forest classifiers, to predict sentiment from thousands of Twitter tweets that I have scraped from Twitter using TweetPy API. To do so, I have used a dataset of 1 600 000 tweets to train and test classifiers. First, the Data has been cleaned and tokenized using NLTK, word2vec, TF IDF, and other technics such as removal of white spaces, removal of hashtags, stemming, and lemmatization.
You can find the whole project code on the link below:
https://www.kaggle.com/code/mohamedisbaine/tweeter-sentiment-analysis-nlp

Twitter Sentiment Analysis using NLP

9904770

Scraping Real Estate Data from Mubawab.ma

Cars Data Scraping using selenium

9904790

Twitter Sentiment Analysis using NLP

9904770

Scraping Real Estate Data from Mubawab.ma

Değerlendirmeler

Değişiklikler kaydedildi

1 değerlendirme içinden 1 - 1 arasındakiler gösteriliyor

Değerlendirmeleri filtreleme kriteri:

1,0

$60,00 USD

opencv to read petrol pump digits

Very disappointed. Had high hopes but stopped communication all of a sudden.

Ehsanul K.

@profficio

•

2 yıl önce

Deneyim

IBM

Oca 2023 - Şu anda

- Designed and implemented Data pipelines to optimize data replication and staging into a centralized data warehouse. - Ensured scalability, reliability, and performance of the data pipeline, while adhering to best practices in data warehousing and management. - Conducted a thorough static code analysis of pre-existing stored procedures to optimize performance and ensure alignment with SQL's best coding practices.