PyData Global Impact Scholarship Program

“Climbing the Leadership Ladder: A Career in Data” is a transformative mentoring session designed for individuals in the initial stages of their careers, seeking to explore the nuances of building a successful career in the data industry. Through a coaching-style approach, this session provides a unique opportunity for participants to engage in insightful discussions and self-discovery, focusing particularly on honing essential soft skills.

Sharing my experiences in the OS space, and how it would effectively showcase one's portfolio!

It's difficult jumping into the pool if you don't know the temperature, or if that's even water in pool in the first place. Let's discuss.

The workshop will be a walkthrough of a project demonstrating https://towardsdatascience.com/branches-are-all-you-need-our-opinionated-ml-versioning-framework-057924a4a3a9.

The role of an analyst, machine learning engineer, or data modeler has changed with new technology. How can you look at upcoming trends, find what you like to do and have a fulfilling career.

When starting out career, it is difficult to imagine what the next step would be like. What are things we can do to improve yourselves?

Writing online remains an underrated career asset in data science and data engineering. A single well-crafted article can effectively showcase both technical and soft skills, and it can be a powerful tool for networking at conferences and engaging with recruiters. While students or new entrants to tech are often encouraged to create portfolio projects to showcase their skills, they often neglect the "last mile" of writing an accompanying piece and posting it somewhere online. Git repos can’t convey what trade-offs were made, why you made certain tweaks to the model, and why you chose this data orchestrator over another. Writing about your data project helps verify that you truly understand the underlying ideas and have domain knowledge expertise. I have three goals for my talk: 1. Understand how “existing online” still remains a massively underrated career asset—and you only need 1 article to start 2. Learn how to write a strong portfolio piece that signals your technical skills and ability to communicate 3. Confidently use your published work in your job search to network more effectively, both online and offline

Workshop designed to guide participants in a thoughtful exploration of their existing skill set and the competencies highly sought after in today's job market. This session is tailored for individuals making the transition into the field of Data Science or those at the early stages of their careers.

1:1 mentorship sessions would be on the lines of AMA type for new entrants in the field or non-programmers aspires to join data science. Workshop could cover hands-on training in Large Language models or Generative AI

Imagine you are processing your data and your ML system from your laptop and there are not enough resources, but by adding a few lines of code you can access all the resources you need. So, from your Jupyter notebook you can orchestrate tests of your code and then you can run the same code in the cloud with … a flag and little else.

The data science ecosystem is a complex and ever-evolving landscape of tools and technologies that enable data scientists to collect, clean, analyze, and visualize data. In this talk, we will discuss the different components of the data science ecosystem, including programming languages, data manipulation libraries, machine learning frameworks, and cloud computing platforms. We will also provide a brief overview of some of the most popular data science tools, such as Python, R, SQL, Spark, and Machine Learning etc. Description: This talk will provide an overview of the data science ecosystem and the tools and technologies that data scientists use to do their work. The talk will be of interest to anyone who is interested in learning more about data science and how to get started in this field. Key takeaways: * Understand the different components of the data science ecosystem * Learn about some of the most popular data science tools * Gain insights into how data scientists use tools and technologies to do their work

This talk will provide a comprehensive understanding of the opportunities, challenges, and future prospects in tech careers related to data analytics and science. Whether someone is considering a career switch or aiming to progress in their current role, they'll leave with valuable insights and a roadmap for success in this dynamic and evolving industry.

This talk will show how to leverage generative AI to expand and enhance text data specifically for improving topic modeling.