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Honeypatel123/README.md

Welcome to My Profile!

Introduction

I am a passionate individual with a strong foundation in Big Data Analytics and a diverse skill set. My expertise lies in programming languages, data analytics tools, cloud platforms, and I hold certifications in Google Professional Data Analytics and Machine Learning from Deep Learning.AI.

Skills

Programming Languages

  • Proficient in Python, R, and C/C++ programming languages, enabling me to tackle data challenges with versatility .

Data Analytics Tools

  • Well-versed in utilizing data analytics tools such as Tableau, Power BI, and Google Dashboard for effective data visualization and analysis.

Cloud Platforms

  • Knowledgeable in cloud platforms like AWS and GCP, leveraging their capabilities for scalable and efficient data processing.

Certifications

  • Certified in Google Professional Data Analytics, showcasing a comprehensive understanding of data analytics principles and practices.
  • Earned a certificate in Machine Learning from Deep Learning.AI, with hands-on experience in various classification and regression tasks.

Career Aspirations

Actively seeking opportunities in the field of Data Analytics and Data Science, eager to contribute my skills and expand my knowledge in this dynamic domain.

Connect with Me

Feel free to explore my repositories for real-world examples of data analytics and machine learning projects. Let's connect and explore the exciting world of Big Data Analytics together! LinkedIn: @HoneyPatel Email: email me

Popular repositories Loading

  1. Smart-Energy-Grid Smart-Energy-Grid Public

    A project aimed at optimizing energy distribution and detecting electricity theft in the Gorwa Sub Division of MGVCL using Machine Learning and Big Data analytics for real-time monitoring and visua…

    Jupyter Notebook 1

  2. Honeypatel123 Honeypatel123 Public

    Config files for my GitHub profile.

  3. Sentimental-analysis-using-NLTK Sentimental-analysis-using-NLTK Public

    Conduct sentiment analysis on Amazon Alexa reviews using Python. Visualize ratings distribution with a pie chart and determine overall sentiment (Positive, Negative, or Neutral). The script, equipp…

    Jupyter Notebook

  4. ETL-using-PostgreSQL-in-Python ETL-using-PostgreSQL-in-Python Public

    Jupyter Notebook

  5. Smart-Grid Smart-Grid Public

  6. Customer_lifetime_value_analysis_using_R Customer_lifetime_value_analysis_using_R Public

    Dive into Customer Lifetime Value (CLV) Analysis using R! Access scripts for calculation, data prep, and visualization. Explore case studies and documentation. Empower your business decisions with …

    R