Murshid Parayil

Business Development Executive

Bengaluru, Karnataka, India5 yrs 3 mos experience

Key Highlights

Expert in web scraping with Python and automation tools.
Improved data accuracy by 20% through efficient techniques.
Extracted over 500,000 records daily for market research.

Stackforce AI infers this person is a Data Acquisition Specialist in the SaaS industry.

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Skills

Core Skills

Python (programming Language)SqlWeb ScrapingMechanical Design

Other Skills

ApolloAutoCADBeautiful SoupData AnalysisData CleaningData CollectionData EntryData ScienceData VisualizationDesignDocumentationGoogle SheetsJavaScriptLinkedIn Sales NavigatorLusha B2B Lead Enrichment

About

Proficient in web scraping using Python with tools like Selenium, BeautifulSoup, and Requests. Experienced in automating data extraction from dynamic and JavaScript-enabled websites, parsing HTML/XML documents, and making HTTP requests to fetch web content. Capable of extracting and analyzing large volumes of web data for insightful, data-driven decision-making.

Experience

Atoa

Data Scraping Analyst

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Generated leads through advanced tools like Lusha, Apollo, and Sales Navigator, enhancing the sales pipeline.
Automated data workflows using Python and APIs, significantly improving operational efficiency.
Conducted data quality analysis, identifying gaps in lead quality and conversion rates, driving process improvements.

SQLPython (Programming Language)Microsoft ExcelApolloPipedriveLusha B2B Lead Enrichment+3

Insnap technologies pvt ltd

Data Acquisition Specialist

May 2023 – Jan 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Implemented robust data acquisition processes, utilizing web scraping, API integrations, and automated solutions.
Demonstrated expertise in using web scraping frameworks, API technologies, and other data acquisition tools, ensuring streamlined processes.
Developed web scraping scripts using Python , Beautiful Soup and Request to extract data from multiple e-commerce websites for market research.
Implemented automated data collection using Selenium for websites using Java scripts, significantly reducing manual efforts and improving efficiency.
Extracted and processed over 500000 records daily, improving data accuracy by 20%.
Reduced data collection time by 50% through the implementation of efficient web scraping techniques.
Stayed updated on the latest advancements, incorporating new tools and methodologies to enhance efficiency.

JavaScriptMicrosoft ExcelTeamworkBeautiful SoupDocumentationSelenium+7