Datathon Workshop

Photo by Jason Goodman on Unsplashsh

About WiDS

The Women in Data Science (WiDS) initiative aims to inspire ​and educate data scientists worldwide, regardless of ​gender, and to support women in the field.

WiDS started as a one-day technical conference at Stanford ​in November 2015. Years later, WiDS is a global move​ment that includes a number of worldwide initiatives.


We ​a​re proud to bring the international Women in Data Scie​nce (WiDS) Conference to Sri Lanka featuring Sri Lank​an women working in the field of Data Science.


About WiDS Sri Lanka

WiDS Sri Lanka is independently organized by WiDS ​Sri Lanka Ambassadors to be part of the mission to ​increase participation of women in data science and ​to feature outstanding women doing outstanding ​work. Having started in 2023 with just 3 members, we ​are now a proud 26 member team


WiDS Sri Lanka events comprise of


About the WiDS Datathon

The WiDS Datathon is an opportunity to discover and ​hone data science skills while solving an interesting ​and critical social impact challenge. Whether you are ​an aspiring data scientist or a data science ​enthusiast, WiDS provides a supportive environment ​for participants to connect, share interests, learn ​from, help each other, and have a lot of fun!


The datathon workshop provides a platform to learn ​and get ready for the datathon.


More information

Datathon workshops 2024

February - March 2024

Malshini Nissanka

Data Engineer

North Technology Group

Sandamali Wickramasinghe

Doctoral Candidate

City, University of London

Machine Learning Engineer

OCTAVE - John Keells Group

Sachini Bamunusinghe

Senior Engineer

London Stock Exchange Group

Ushani Amarasekara

Executive - Data Analytics

MAS Kreeda

Sanduni Jayasundara

Machine Learning Engineer

OCTAVE - John Keells Group

Introduction to Data Science & Machine Learning

19th of February 2024 at 7.00 P.M

Conducted by S​achini Bamunusunghe

Machine Learning Basics

22nd of February 2024 at 7.00 P.M

Conducted b​y Sanduni Jayasundara

Feature Engineering & Selection

26th of February 2024 at 7.00 P.M

Conducted by S​andamali Wickramasinghe

Model Building & Evaluation

29th of February 2024 at 7.00 P.M

Conducted by L​aksrini Akshila Anurangi

Hands-on Coding Session

04th of March 2024 at 7.00 P.M

Conducted by Malshini Nissanka and Ushani Amarasekara

Organizing Committee

Rashmi Mendis

Swetha Nilakshi

Undergraduate,

General Sir John

Kotelawala Defence University

Undergraduate,

General Sir John

Kotelawala Defence University

Chamudi Mallawaarachchi

Umasha Weerasinghe

Gagani Amasha

Undergraduate,

General Sir John

Kotelawala Defence University

Undergraduate,

General Sir John

Kotelawala Defence University

Undergraduate,

General Sir John

Kotelawala Defence University

Past Datathon Workshops

Datathon workshop 2023

    • The WiDS Datathon 2023 Challenge aimed to address the impact of ​climate change by focusing on long-term weather forecasting. The ​workshop covered data cleaning, data modeling to extract insights using ​Regression trees and Neural Networks, and a full hands-on session ​where participants were able to apply the concepts they had learned in ​the previous sessions to a real-world dataset and an overview of the ​datathon.

    • Watch recordings of the workshop on YouTube.

Vimukthini Pinto

PhD Candidate

Australian National University

Saumya Karunadhika

Analyst, Specialized Solutions

Acuity Knowledge Partners

Beshani Weralupitiya

Consultant

Kainovation Technologies

Vimukthini Jayalath

Data Engineer

London Stock Exchange Group

HOW TO PARTICIPATE IN WIDS?

Girl Power Individual Speaker

As a Speaker


We are in search of leading ​women in the field of data.


If you're one of them, we'd love ​to get in touch!

Clean Expressive Teamwork

As a Company


We provide opportunities for ​companies to align themselves ​with technology and diversity.


Reach out to learn more!

Girl Power Group Pyramid

As a Member


Join our vibrant network of ​Ambassadors planning events to ​support women currently ​in data ​science and to ​inspire others to ​join the field.



widssrilanka@gmail.com