PyCon My 2019 App

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Sponsor Series – Mindvalley as Gold Sponsor


PyCon My 2019 is proud to announce Mindvalley as our Gold Sponsor.

“Shape the Future of Humanity by Working on the Future of Education”

“Mindvalley is a global school of 3+ million people. We produce some of the world’s top trainings for peak human performance. We host unique events and experiences across the world. And we support communities and causes aligned with our vision for mankind.”

“We do this by working with the world’s greatest teachers, and spreading their ideas through our leading-edge learning technology – which dramatically amplifies personal transformation, and results in curriculum completion rates up to 500% higher than the industry average.”

Visit Mindvalley at

Sponsor Series – Elastic as Silver Sponsor


PyCon My 2019 is proud to announce Elastic as our Silver Sponsor.

Elastic is the company behind the Elastic Stack — that’s Elasticsearch, Kibana, Beats, and Logstash. From stock quotes to Twitter streams, Apache logs to WordPress blogs, Elastic helps people explore and analyze their data differently using the power of search.

From the early days of Elasticsearch to how the ELK Stack came to be, a period of awesome development, the introduction of the Elastic Stack, and a new era of openness, at exactly 9:30 a.m. Eastern on October 5, the bell at the New York Stock Exchange rang out, officially making Elastic a public company. With a record-setting 230 Elasticians on the trading floor and hundreds more around the world, their distributed company celebrated reaching this remarkable milestone together.

Elastic has a team that collectively speaks a lot of languages. Spread around the world in over 30 countries, the team is trusted to do good work, supported when things get bumpy, empowered to think differently, push limits, and have a little fun in the process.

Visit Elastic at

Speaker Series – Renaldi Gondosubroto

Renaldi Gondosubroto - Renaldi Gondosubroto.png Renaldi is the Founder and CEO of GReS Studio. He leads the organisation with a vision of having an interconnected world where businesses and individuals can share big data with each other. His personal vision is to be able to get more young minds into taking leadership positions in the companies that will come. Through his passion of developing software and contributing to the opensource community, Renaldi wants to encourage the innovation of new solutions to usher forward and promote a new era of innovations that can be used by everyone. He enjoys sharing his knowledge regarding his experiences within the tech industry with many other people in order to also inspire and put them in the right track for success, both in conferences and in regular everyday situations.

Topic: The Rise of the Motion Controlled Robotic Arms.

This talk will aim to show a fascinating side to programming with the complement of hardware on the side; this in particular using industrial-grade robotic arms. Through programming the receiving end of the leap motion technology in Python, I will demonstrate how one will be able to receive the coordinates, transport the data to be stored in the cloud, and eventually put the coordinates out for use in the robotic arms themselves and how the arms will interpret the movement to best be followed. Through programming as the intermediary and with leap motion technology available, the coordinates in 3D space of each bone in the hand can be obtained, allowing very accurate movement of the robotic arms and the hands attached to it, particularly the fingers on the hands, to follow along with the actual movement as well. Through showing how the data can be transported, stored, and used from the cloud, the audience will also learn about the importance of the Internet of Things concept in creating systems such as this one and understand the extents of how cloud technology can best be used to support these systems. The audience will leave feeling inspired to begin their own projects within Python that relates to the Internet of Things concept, mechanised systems, and maybe even go on to build their own full-fledged Pacific Rim robots! And yes, I will be demonstrating a full-sized implementation of the programmed robotic arms and hands as well after showing how to program it.

Targeting audience with intermediate level of Python knowledge.

Speaker Series – Vaibhav Srivastav

vaibhav_img - Vaibhav Srivastava.jpg Vaibhav is a Data Scientist working with Deloitte Consulting LLP. He works with Fortune Technology 10 clients to help them make data-driven (read profitable) decisions. Prior to this, he has worked with startups across India to build Social Media Analytics Dashboards, Chatbots, Recommendation Engines and Forecasting Models.

His core interest lies in Natural Language Processing, Machine Learning/ Statistics and Product development.

In his free time, Vaibhav gives talks and participates in local PyData/ PyUserGroup meetups. He has also previously given talks at Gartner Data and Analytics Summit, PyCon India, PyCon APAC (Philippines), PyCon Korea, PyCon Malaysia and Google Cloud Summit!

Topic: Machine Learning with Text

It can be difficult to figure out how to work with text in scikit-learn, even if you’re already comfortable with the scikit-learn API. Many questions immediately come up: Which vectorizer should I use, and why? What’s the difference between a “fit” and a “transform”? What’s a document-term matrix, and why is it so sparse? Is it okay for my training data to have more features than observations? What’s the appropriate machine learning model to use? And so on…

In this tutorial, we’ll answer all of those questions, and more! We’ll start by walking through the vectorization process in order to understand the input and output formats. Then we’ll read a simple dataset into pandas, and immediately apply what we’ve learned about vectorization. We’ll move on to the model building process, including a discussion of which model is most appropriate for the task. We’ll evaluate our model a few different ways, and then examine the model for greater insight into how the text is influencing its predictions. Finally, we’ll practice this entire workflow on a new dataset, and end with a discussion of which parts of the process are worth tuning for improved performance.

Targeting audience with intermediate level of Python knowledge.

Speaker Series – Chinab Chugh

Screen Shot 2019-07-30 at 3.28.12 PM.png Chinab is the co-founder and CTO of Jublia which creates and measures meaningful “hellos” at events. Apart from leading the development team, Chinab runs several web projects on the side and is fascinated by new technology research.

Topics: DevOps with Python.

What if I told you that you can configure your servers, release code, control access, do concurrent development and much more with a few commands. Introducing the bastion-satellite server arrangement, proudly built with Python, to make DevOps a piece of cake!

Targeting audience with intermediate level of Python knowledge.

Speaker Series – Mark Koester

mark-headshot-squared - Mark Koester Mark (@markwkoester) is a web, mobile app and data developer. He currently runs a boutique dev shop ( and is an active open source contributor, including most recently QS Ledger, a Python data science project to collect and analyze personal tracking data. Creator: and Former Regional Lead in Greater China at Techstars Accelerator. He regularly writes about technology and data-driven life at

Topic: A Self Across Time: Time Series Data Analysis, Visualization and Forecasting.

How to understand health, productivity and other life data across time? Time series analysis allows us to look at non-stationary data, whether personal, financial or weather, and translate that data into visualizations, patterns and meaning. Let’s discover how to find relevant variables, plot recurring changes and make forecasts with our time-oriented data!

Targeting audience with intermediate level of Python knowledge.

Speaker Series – Amirul Abu

Screen Shot 2019-07-30 at 3.13.28 PM.pngAmirul studied Chemical Engineering in UTP, Perak, then work as a Process Safety Engineer in a chemical plant. Currently working as a Data Engineer at Vase Technologies.

Topic: How Python helped me changed my career from a Chemical Engineer to a Full Stack Web Developer.

Amirul will share his story on how he changed his career from a Chemical Engineer to a Full Stack Web Developer.

Targeting audience with beginner level of Python knowledge.

Sponsor Series – Jewel Paymentech as Silver Sponsor

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PyCon My 2019 is proud to announce Jewel Paymentech as our Silver Sponsor.

Jewel Paymentech is a financial risk technology company founded in 2014 with a mission to develop intelligent risk solutions for the banking and electronic payments industry.

Our suite of intelligent solutions help banks and payment facilitators conduct merchant due diligence and manage transaction fraud risks using predictive analytics.
We also offer automated solutions to large merchants such as marketplaces, to identify illegal and counterfeit goods as part of their KYC process. We have also been named by SWIFT as one of the most promising FinTech companies in Asia.

Visit Jewel Paymentech at