NEHA SINGHVI

SEO Executive at WsCube Tech
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Contact Information
us****@****om
(386) 825-5501
Location
Mumbai, Maharashtra, India, IN

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Credentials

  • Google analytics for beginners
    Google analytics
    May, 2022
    - Nov, 2024
  • keyword Research Exam
    Semrush
    Mar, 2022
    - Nov, 2024
  • Google Digital Marketing
    Google
    Apr, 2021
    - Nov, 2024
  • SEO Fundamentals Exam
    Semrush
    Aug, 2021
    - Nov, 2024
  • On-Page and Technical SEO Test
    Semrush
    May, 2021
    - Nov, 2024
  • Semrush SEO Toolkit Exam
    Semrush
    May, 2021
    - Nov, 2024

Experience

  • WsCube Tech
    • India
    • E-Learning Providers
    • 100 - 200 Employee
    • SEO Executive
      • Jul 2021 - Present

      Developed on-site body content, meta description, and page titles in support of SEO strategies. Completed search engine keyword research in accordance with SEO strategic content plans to optimize pages. Used Google tools like Analytics, Search console, and trends to track daily, weekly and monthly progress and web trends. Developed well-researched keyword lists using specialized SEO tools to build SEO strategies. Perform efficient use of HTML Tags. All the techniques of Off-page Optimization like Blog creation and posting, Article submissions, Quora, Social bookmarking, Local listing, etc. Analyze Technical SEO Audit reports for projects. Show less

  • KIFS Trade Capital
    • India
    • Financial Services
    • 100 - 200 Employee
    • Data Analyst
      • Aug 2018 - Jan 2020

      Sentiment Analysis- Use the Sentiment Analysis Algorithms to understand the stock sentiments. Project: Twitter Sentiment Analysis. Tools: NLTK, Python Algorithms: Sentiment Analysis ·Financial sentiment analysis model is used to extract insights from news, social media, financial reports, and alternative data for investment, trading, risk management, operations in financial institutions, and basically anything finance-related. Sentiment Analysis- Use the Sentiment Analysis Algorithms to understand the stock sentiments. Project: Twitter Sentiment Analysis. Tools: NLTK, Python Algorithms: Sentiment Analysis ·Financial sentiment analysis model is used to extract insights from news, social media, financial reports, and alternative data for investment, trading, risk management, operations in financial institutions, and basically anything finance-related.

  • Arcgate
    • India
    • Outsourcing and Offshoring Consulting
    • 700 & Above Employee
    • Research Analyst
      • Nov 2017 - Jul 2018

      Data collation, interpretation, validation, cleaning, secondary research and data enrichment for gathering business insights • Exploratory data analysis to calculate statistics and make figures to find trends, anomalies, patterns, or relationships within the data. • Missing value and standardization treatment of the data. • Data pipeline to collect secondary data from various sources like Zoom info, LinkedIn, Google search, Company websites, Blogs, Jigsaw, Data.com, Ladder etc. • Create and update the database structure with respective Email id, Phone number, Region, Destination other team members and help with way to optimize. • Feature engineering based on the needs of the business. • Engineering Excellence practices – Code review, Code quality, Hooks, deployments. Show less

Education

  • JIET SCHOOL OF ENGINEERING & TECHNOLOGY FOR GIRLS
    B.Tech, B.Tech Computer Science
    2008 - 2012

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