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WiDS Datathon 2021

This year’s datathon is open January 6 - March 1 on Kaggle
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Women in Data Science(WiDS) is currently hosting a Datathon with winners to be announced during the annual conference on the 8th March 2021. During the month of February in the leadup to submission of results, WiDS Sydney is hosting mentoring sessions for all the women who are interested in Data Science and are keen to participate in this Datathon. These sessions will aim at giving you tools that you could use in the Datathon and peak your interest in Data Science in general. Sydney WiDS Festival 2021 Datathon Workshop is an independent event organized by Sydney WiDS Ambassadors to coincide with the annual Women in Data Science (WiDS) Worldwide Conference held at Stanford University and an estimated 150+ locations worldwide.

We will have a weekly session for the next 3 Wednesdays.
The Sydney WiDS Festival 2021 Datathon Workshops details are as shown below.

The WiDS Datathon 2021 will focus on models to determine whether a patient admitted to an Intensive Care Unit (ICU) has been diagnosed with a particular type of diabetes. Participants can be students, faculty, government workers, members of NGOs, or industry members.

About WiDS Datathon
In order to prepare for this Datathon our WiDS, Sydney Ambassadors have organised a mentoring session.

The details of the mentoring session is as shown below.

Session 1
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Date: 3rd February 2021, Wednesday
Time: 6:00PM – 7:30PM
Speaker: Duhita Khadepau, Director – Analytics and Data Science@Assignar, WiDS Ambassador 2021, Sydney

Content:
This session will help set up the stage for the Datathon

Welcome and Opening Remarks
Datathon Context
Set the expectations for the next 2 workshops
Getting people to participate and enroll if they haven’t done so yet
Helping participants form teams.
Guiding the participants to set up their environments for the next hands on session.
Mentoring them self promote themselves and building your portfolio and brand.

Session 2
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Date: 10th February 2021, Wednesday
Time: 6:00PM – 9:00PM
Speakers:
Nikita Sharma, Data Analyst@Assignar
Zarmina Muhammad, Data Analyst@Assignar
Patricia Kavinski, Data Scientist@Commonwealth Bank
Yogitha Mariyappa, Data Scientist@Commonwealth Bank

Content:
This session will see the Speakers having a hands on tech session with the participants

6:00PM – 6:05PM: Recap
6:05PM – 7:15PM: Introduction to CRISPDM and Exploratory Data Analysis
7:15PM – 7:30PM: Break
7:30PM – 8:45PM: Introduction to Models
8:45PM – 9:00PM: Questions and Wrap Up

Session 3
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Date: 17th February 2021, Wednesday
Time: 6:00PM – 8:00PM
Speakers:
Nikita Sharma, Data Analyst@Assignar
Zarmina Muhammad, Data Analyst@Assignar
Patricia Kavinski, Data Scientist@Commonwealth Bank
Yogitha Mariyappa, Data Scientist@Commonwealth Bank
Duhita Khadepau, Director – Analytics and Data Science@Assignar, WiDS Ambassador 2021, Sydney
Dr Theresa Anderson, Associate Prof, Vice Chair ACS NSWBEC, WiDS Ambassador 2021, Sydney

Content:
This session sees all the participants come back with more questions from the previous sessions and more mentoring sessions in general. This is where Theresa uses 25 mins to talk about Ethical Implications to be considered while building a Data Science solution. Then final wrap up and promote our upcoming Region Events

6:00PM – 6:05PM: Recap
6:05PM – 7:05PM: Open Floor, Questions
7:05PM – 7:30PM: Innovative and Ethical ways to use data science for social good.
7:30PM – 8:00 PM: More mentoring session if required, Wrap Up Datathon, Promote Regional Event.

Note: All the above sessions will be virtual sessions.

WiDS Datathon Speakers

Zarmina Muhammad - Data Analyst, Assignar

I am Zarmina Muhammad and I am currently working as a Data Analyst at Assignar.

My background is quite diverse, where I graduated with a degree in biotechnology and biomedical sciences. I started my career as a biomedical researcher in nanotherapeutics where I realized that data has the potential of doing something bigger than just considering it to be these numbers, observations, and statistics from my research, and from there I started migrating more towards the data domain. In the beginning, I started working as a Health information system officer where I was primarily dealing with some very basic data processing and analysis of health data from a local NGO using M.Excel. To strengthen up my skills and expertise in the field I got a master’s degree in data science and Innovation from UTS (University of Technology Sydney) in 2020.

I am now skilled in SQL, R, and Python, where my technical expertise includes data analytics and Machine learning.

Working as a data analyst at Assignar, my future goals are inclined more towards getting experienced in Data Analytics – Product and marketing Analytics, where I can help the company in decision making by analyzing and getting valuable insights from customer data.

Zarmina Muhammad

Data Analyst, Assignar
Nikita Sharma - Data Analyst, Assignar

I am a Data Analyst, Data Scientist and a Data Nerd. I am an AWS community builder and a big fan of cloud technologies. When I am not working, I write blogs on getting started with Data Science. You may find my sessions particularly interesting if you are a newbie in the data space. Hope to see you there.

Nikita Sharma

Data Analyst, Assignar
Patricia Kavinski - Data Scientist, Commonwealth Bank of Australia

Patricia is a data scientist with a background in Statistics that deeply enjoys the machine learning side of data science and takes pleasure in studying and understanding the maths behind algorithms and learning new techniques and tools.

She is currently working as a Data Scientist at the Commonwealth Bank. In addition, since she graduated from the Master of Data Science and Innovation at UTS (2018) she is also working as a tutor for two subjects where

students work with industry partners on real world problems. She believes being a mentor gives her the opportunity to expand her network and to be in touch with new techniques and continuous learning.

Patricia Kavinski

Data Scientist, Commonwealth Bank of Australia
Yogitha Mariyappa - Manager Data Science, Commonwealth Bank of Australia

Yogitha has over 10 years of experience in IT, with a focus on all things data. With a rich background in data warehousing and analytics, she organically found her passion in data science and completed a Masters of Data Science and Innovation with UTS. Recognised for her analytical skills and ability to communicate complex technical concepts to non-technical audience, she enjoys telling a story with data and seeing its impact firsthand.

Currently, Yogitha works as a data scientist within the Group Audit and Assurance department at Commonwealth Bank of Australia. The team aims to transform internal audit with tech, analytics and data science. As a member of the audit innovation team, she builds AI based solutions aimed at improving and automating audit processes, reducing risk and increasing assurance across the group’s functions. In addition, she also mentors cohorts of postgraduate students at UTS, in their industry projects.

Yogitha Mariyappa

Manager Data Science, Commonwealth Bank of Australia
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