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virenvaghasiya/README.md

Hi there, I'm Viren Vaghasiya!


About Me 🚀

I am a Data Scientist with a background in Web Developer and Quality Control Management. I specialize in creating and maintaining web applications, utilizing my skills in Python, Django, and data visualization to deliver impactful solutions. I also have experience in quality control management, ensuring compliance and efficiency in food preparation and service.

My Experiences 🙌

  • Quality Control Manager (Five Guys Europe): Managed office operations and IT systems to support quality control processes, enhancing data management efficiency. Oversaw the implementation of service standards, raising the quality of customer service. Conducted detailed audits and adjusted protocols to ensure continuous adherence to health and safety guidelines, fostering an environment of excellence.
  • Data Scientist (BrainyBeam Technologies): Spearheaded customer segmentation initiatives, boosting conversion rates by 20%, and improved decision-making processes by 15% through data analysis.
  • Web Developer (NMR Enterprise): Resolved bugs, decreasing website loading time by 30%, and increased website traffic by 40% with intuitive interfaces.

Education:

  • MSc in Cybersecurity
    University of West London
    October 2022 - Present
  • BE in Information Technology
    Sardar Patel College of Engineering
    June 2018 - July 2022

Skills:

  • Technical: Python, Django, Data Visualization, Spark, Hadoop, Tableau, HTML, CSS, JavaScript, Agile Environments, Bootstrap, PHP, MySQL, Android Studio, Dart, TensorFlow, NLP, cPanel, Firebase, scikit, Data Science
  • Tools: Anaconda, Git, SQLite, Jupyter Notebook

Skills 🛠

  • Technical: Python, Django, Data Visualization, Spark, Hadoop, Tableau, HTML, CSS, JavaScript, Agile Environments, Bootstrap, PHP, MySQL, Android Studio, Dart, TensorFlow, NLP, cPanel, Firebase, scikit, Data Science
  • Tools: Anaconda, Git, SQLite, Jupyter Notebook

Projects:

  • Customer Segmentation System:
    • Created a system using k-means clustering in Python and Django, optimizing customer mix and boosting profitability by 30%.
  • Android App for Students and Educators:
    • Developed an app for resource sharing, resulting in a 50% increase in retention.
  • Movie Recommendation System:
    • Engineered a recommendation system using Anaconda and Jupyter Notebook, increasing user engagement by 40% and premium subscriptions by 25%.

Certifications:

  • Learn Ethical Hacking from Scratch
  • Data Science Job Simulation
  • Foundations of Cybersecurity
  • Play Safe: Manage Security Risks
  • Data Science A-Z™: Real-Life Data Science Exercises Included
  • Machine Learning A-Z™: Hands-On Python & R In Data Science
  • Complete NodeJS course with express, socket, and MongoDB
  • Spatial Analysis & Geospatial Data Science in Python

Pinned Loading

  1. Customer_Segmentation Customer_Segmentation Public

    The growth in the ecommerce industry as well as the easy access of the internet connection allows a B2B and B2C market to grow more. The cheaper and easier internet connectivity as well as the avai…

    Jupyter Notebook 1

  2. Movie-Recommendation Movie-Recommendation Public

    Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. It is a system that seeks to pr…

    Jupyter Notebook

  3. Sentiment-Analysis-of-Trending-Hashtags-from-Twitter Sentiment-Analysis-of-Trending-Hashtags-from-Twitter Public

    Sentiment Analysis is a technique used in the area of a text analysis which finds the probabilities of different classes which are assigned to a particular text. The outcome of sentiment analysis i…

    HTML

  4. SPECTIAN-ADMIN-APP SPECTIAN-ADMIN-APP Public

    This Android application is the admin part of the application called spectian, This is basically where the administrator and faculties of the college will handle this app to upload assignments, not…

    Java

  5. SPECTIAN-USER-APP SPECTIAN-USER-APP Public

    About This is an android application for our college students, so that they can access some sort of material and information from this application itself.

    Java

  6. Deep_steganography_using_CNN_and_Machine_Learning_Techniques Deep_steganography_using_CNN_and_Machine_Learning_Techniques Public

    Develop steganography model embedding secret image in cover image undetectably. Integrate machine learning to dynamically adapt payload based on cover, optimizing capacity-quality balance. Address …

    Jupyter Notebook