Aditya Bholah
Data Engineer @ Ringier AG (Delphi)
Rivière du Rempart, Mauritius
Actions
Data Science, AI and Python enthusiast. Currently active in local open source communities (LUGM, Ubuntu Mauritius, PyData MU) and a contributing member in PSF.
Links
Area of Expertise
Topics
Apache Spark Jobs on Google Colab
- A brief introduction on Apache Spark and where/how it is used.
- A brief introduction on Google Colab
- Setting up Google Colab for Apache Spark
- Exploring datasets on Google Colab using PySpark
Getting a career in Data Science
An introductory session about data science and it's landscape in mauritius. the different sub-fields in data science and what roles are available in each. what are normally the requirements for each role
Demystifying MLOps (Machine Learning Operations)
- An introductory view of MLOps (Machine Learning Operations)
- What makes MLOps different from DevOps
- How to apply MLOps and on which platforms
- A demo of MLOps pipeline on AWS
Hadoop For Noobs
Get a quick overview of the Hadoop ecosystem and how it can be used for distributed computing and big data by coupling it with Apache Spark. The session will then be followed by a small introduction on Apache Spark and then closed by a hands on demo of Apache Spark jobs running on Hadoop using PySpark.
Thinking like a Panda 🐼 (Python)
Using Pandas, popular python data science library, I will show the underlying data structure in it and how to work with them.
The talk will mostly discuss about the functionalities of Pandas and how to pre-process and process big data using the library.
Streamlitting Data Visualisations 🔥 (Python)
A brief introduction to the Streamlit Python package. How to install/prepare the environment. Using streamlit to visualise data, generate simple charts, create interactive reports and deploy the streamlit app.
Real-Time Data Processing with Kubernetes and Spark (PyData MU)
We'll be officially launching of PyData Mauritius chapter at this year's DevCon 2025 🥳📈
Together with a session on Real-Time Data Processing with Kubernetes and Spark
Combine the power of Kubernetes for scalable infrastructure and Apache Spark for real-time data processing.
In this session, we will demonstrate how to deploy Spark on Kubernetes for scalable, real-time analytics. Learn about:
• Dynamic Scaling: Managing Spark clusters with Kubernetes for optimal resource usage.
• Real-Time Streaming: Processing live data feeds with Spark’s structured streaming.
• CI/CD Integration: Automating deployment for data pipelines.
Ideal for DevOps engineers, Data Scientists, Data Engineers, and Cloud Architects, this talk will include a live demo showcasing real-time data insights.
Google DevFest 2022 - Mauritius Sessionize Event
Developers Conference 2022 - Mauritius Sessionize Event
Aditya Bholah
Data Engineer @ Ringier AG (Delphi)
Rivière du Rempart, Mauritius
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top