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Schedule Interview NowMilan V. - , Artificial Intelligence, Chatbot Development
My name is Milan V. and I have over 6 years years of experience in the tech industry. I specialize in the following technologies: Web Scraping, Data Extraction, Data Mining, Beautiful Soup, Selenium, etc.. I hold a degree in Bachelor of Engineering (BEng), Bachelor's degree. Some of the notable projects I’ve worked on include: LinkedIn Web Scraping Project Using Beautiful Soup and Selenium, Web Scraping from Facebook Using Python, Instagram Bot for Automatic Liking and Commenting, eBay Watch Data Scraper: A User-Friendly Flask API, Web Scraping and Data Extraction: Navigating Beaniegames.com, etc.. I am based in Surat, India. I've successfully completed 23 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
6 years
Web Scraping
1 Year
Data Extraction
3 Years
Data Mining
1 Year
Additional skills
- Web Scraping
- Data Extraction
- Data Mining
- Beautiful Soup
- Selenium
- Python-Requests
- Data Science
- Natural Language Processing
- Deep Learning
- Computer Vision
- Artificial Intelligence
- Chatbot Development
Direct hire
Potentially possible
Experience Highlights
LinkedIn Web Scraping Project Using Beautiful Soup and Selenium
This project showcases a LinkedIn web scraping solution using Python's Beautiful Soup and Selenium. By automating the data extraction process, users can gather valuable information from LinkedIn profiles and pages for research, talent acquisition, and market analysis. The project demonstrates my expertise in Python programming, web scraping techniques, and ability to utilize Beautiful Soup and Selenium effectively. The screenshot in the SoftAims portfolio section highlights the project's detailing, emphasizing the my proficiency in data extraction and automation.
Web Scraping from Facebook Using Python
This project demonstrates the process of web scraping from Facebook using popular Python libraries such as BeautifulSoup and Selenium Through the utilization of these powerful tools, the project offers a robust solution for extracting data from Facebook pages. Web scraping is a technique used to extract information from websites by automating the process of data collection. In this project, BeautifulSoup, a Python library for parsing HTML and XML, is employed to navigate and extract specific elements from Facebook pages.
Instagram Bot for Automatic Liking and Commenting
In this project, I created an Instagram bot that can like and comment on posts automatically Python and its libraries, including Selenium and BeautifulSoup, were used to create the bot. The bot searches for posts that match specific criteria, such as hashtags or keywords, by logging into an Instagram account. When it finds a matching post, it can like it and leave a predefined comment. This project's goal was to automate the process of interacting with Instagram posts, which can save users time and effort if they want to increase their engagement on the platform.
eBay Watch Data Scraper: A User-Friendly Flask API
In my recent project, I successfully developed a user-friendly web application for scraping watch data from eBay With a simple and intuitive user interface, users can easily input their preferred eBay URL and extract valuable watch-related information effortlessly. The backbone of this application is powered by a Flask API, ensuring seamless communication between the frontend and backend. Flask, being a lightweight and versatile web framework, enabled me to create a robust and responsive web application for data extraction.
Web Scraping and Data Extraction: Navigating Beaniegames.com
In my latest project for Beanie Games, I undertook a web scraping and data extraction task, employing Selenium and Beautiful Soup to achieve the desired results. Using Selenium, I navigated through all the categories available in the website's header, followed by their respective subcategories, ensuring a comprehensive coverage of the entire website. This automated approach allowed for a systematic and efficient exploration of the site's content. With the data successfully accessed, I then utilized Beautiful Soup, a powerful Python library, to extract and parse the relevant product information. This enabled me to obtain detailed and structured data on the products available on Beanie Games.
Education
Gujarat Technological University
Bachelor of Engineering (BEng) in
2015-01-01-2019-01-01
Nalanda Vidhyalaya + Samarpan Techno School + VIEAT college India
Bachelor's degree in
2002-01-01-2019-01-01
Languages
- English
- Hindi
Github