anushdecosta / python-weathervacation-api

Weather and Vacation Analysis: Explore the relationship between latitude and weather variables. Generate scatter plots and regression models. Filter weather data to find cities with desired conditions. Locate nearby hotels for vacation planning. Python, Jupyter Notebook, Pandas, Matplotlib, Citipy, OpenWeatherMap API, Geoapify API.

Hi there👋, I'm Anush from Melbourne, Australia

Data Analytics Professional | Passionate about leveraging data for insights and business growth.

With a background in administration, logistics, and photography, I've transitioned into data analytics, where I blend analytical skills with creativity. Recently completed a Data Analytics bootcamp by Monash University and currently enhancing my skills through a Google Data Analytics certification. I'm proficient in Python, R, SQL, and data visualization tools like Tableau and Power BI. Eager to dive deeper into data science and analytics.

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• 🔭 I’m currently working on projects that apply my data analytics skills to real-world datasets, focusing on delivering actionable insights.

• 📚 Currently expanding my knowledge on data analytics through Google's Data Analytics Professional Certificate.

• 📝 Exploring the intersection of data analytics and business decision-making through blogging and case studies.

• 👨‍💻 My portfolio showcasing various projects is available here!

• 📫 Reach me at [email protected]

• 💼 Connect with me on LinkedIn

🌱 I've already learnt how to...

• Analyze and visualize data using Python, R, SQL, and JavaScript, with tools and libraries like Pandas, Seaborn, and Jupyter Notebook.
• Utilize data visualization platforms such as Tableau and Power BI to create compelling data stories.
• Work with databases (SQL and NoSQL) including MongoDB, MySQL, and PostgreSQL, managing data operations efficiently.
• Develop ETL pipelines and data analytics projects from concept to execution, applying best practices in data handling and analysis.
• Leverage Flask for creating web applications and integrating data analytics functionalities.

🔮 What's next:

Deepening my expertise in advanced analytics techniques, including machine learning and predictive modeling.

Languages and Tools:

Programming Languages

• Python
• SQL
• JavaScript
• HTML5
• NoSQL

Applications

• Tableau
• GitHub
• MongoDB
• MySQL
• PostgreSQL
• Flask

Tools

• Pandas
• Jupyter Notebook
• Excel
• Seaborn
• scikit-learn

🐙 Certifications

• Certificate in Data Analytics from Monash University
• Google Data Analytics Certification