Arafat H. Profile

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$7 USD / jam

feni,

bangladesh

$7 USD / jam

Saat ini 1:10 PM di sini

Bergabung Juni 24, 2017

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Arafat H.

@JackSparrowAHN

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(0 ulasan)

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$7 USD / jam

feni,

bangladesh

$7 USD / jam

N/A

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Tingkat Rekrut Ulang

Web Scraping Expert | Python Developer

I'm an expert web scraper and python developer to extract data from any website. I can expertly convert unprocessed data into any format you want, then put it into databases, CSV files, Excel files, and other types of storage with ease. I can help you obtain the datasets you want, whether you are searching for products price information, detailed product specifications, extensive real estate listings, or any other kind of online treasure. I write custom scripts to efficiently extract, transform, and load data, ensuring seamless operations and adeptly resolving any challenges that may arise.?? ✨ Web Scraping TECH-STACK ✨ ✔ Language: Python ✔ Libraries: BeautifulSoup, Scrapy, Selenium, Pandas, Numpy, etc. ✔ IDE: VS Code, Jupyter Notebook ✔ Others: Git ⭐ Technical Proficiency ⭐ ✔ HTML/CSS: Ability to navigate web pages and extract data efficiently. ✔ HTTP Handling: Skilled in managing requests, checking status codes, headers, and cookies. ✔ Data Management: Expertise in parsing, cleaning, and storing data in various formats like CSV, Excel, JSON and databases. ✔ Error Handling & Testing: Implementation of error handling, logging, and testing. ✔ Documentation: Thorough documentation of code for future reference or collaboration. ✔ Collaboration and Communication: Strong communication skills to understand client requirements and provide project updates. ✔ Continuous Learning: Committed to staying updated on the latest techniques and best practices. ✨ Offered Services ✨ ✔ E-commerce: Product info, prices, reviews. ✔ Social Media: Profiles, posts, engagement. ✔ Jobs: Listings, companies, candidates. ✔ Real Estate: Property listings, prices, features. ✔ News: Headlines, articles, publications. ✔ Research: Publications, citations, academic articles. ✔ Travel: Itineraries, hotel info, bookings. ✔ Finance: Company data. ✔ Weather: Forecasts, temperature, climate. ✔ Government: Public datasets, reports, documents.

Lihat semua Data Processing Executives in Bangladesh

Hubungi Arafat H. mengenai pekerjaan Anda

Portofolio

Project Description:
1. Data Collection: Desktop RAM information was extracted through web scraping techniques from an e-commerce website.
2. Data Organization: The scraped data was systematically structured into item names, prices, and descriptions for enhanced clarity and accessibility.
3. Output Generation: The organized data was exported into a CSV file format to facilitate easy storage, sharing, and further analysis.
4. Implementation: The project was implemented using Python scripting, with the BeautifulSoup library employed to parse the HTML content efficiently.

Extracting Product Data from E-Commerce Platform

Project Overview:
1. Data Collection:
Web scraping techniques has employed to gather agents' information such as agent names, email addresses, and contact numbers from the website.
2. Data Storage:
The extracted data has stored in an Excel file format.
3. Implementation Technology:
Python scripting has utilized to develop the scraping script. BeautifulSoup library has employed for parsing the HTML content, ensuring accurate extraction of the desired data.

Data scraped from an Real Estate agent website

Extracting Product Data from E-Commerce Platform

Data scraped from an Real Estate agent website

Ulasan

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Edukasi

BSc in Electrical and Electronic Engineering

Shahjalal University of Science and Technology,

Bangladesh

2017 - 2021

(4 tahun)

Publikasi

Classification of Gastric Precancerous Diseases using Hybrid CNN-SVM

IEEE

In this paper, a hybrid model is proposed to classify GPDs. The model is a combination of Convolution Neural Network (CNN) Gastric Precancerous Diseases Feature Extractor Network (GPDFENet) for feature extraction and Support Vector Machine (SVM) for classification.

Enhancing Voltage Stability using Reinforcement Learning-based STATCOM

IEEE

In this paper, a novel control scheme based on Reinforcement Learning (RL) controller for the Static Synchronous Compensator (STATCOM) is presented for inter-area multi-machine power system.