WiDS Trinidad and Tobago 2023


JANUARY 4 - MARCH 1, 2023

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What is 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. The WiDS Datathon encourages women worldwide to hone their data science skills in a supportive environment.

  • The WiDS Datathon 2023 Challenge themed Adapting to Climate Change by Improving Extreme Weather Forecasts is a predictive analytics challenge hosted on Kaggle.

  • Persons interested in data science are invited to participate, including ABSOLUTE beginners.

  • It is open to individuals or teams of up to 4; at least half of each team must be individuals who identify as women.

  • Participants can be students, faculty, government workers, members of NGOs, or industry members.

  • Resources/skills provided to participants: Data science skill-building resources, Modeling/coding tutorials and videos, Access to mentors

  • Benefits: Global networking opportunities, Local Prizes and Certificates, Team building and data modelling skills, Connect with others for a good cause and impact in local communities :)

WiDS Trinidad & Tobago (T&T) hosts independent events organized by the WiDS T&T Ambassador, Dr. Letetia Addison and the WiDS T&T Organizing committee as part of the annual WiDS worldwide conference hosted by Stanford University.

With an estimated 200+ locations worldwide, WiDS features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.

See the links below for WiDS Datathon resources:

Announcing the 6th Datathon Challenge 2023 Challenge

WiDS Datathon Resources

Need to find team members as a datathon participant and/or volunteer to be a mentor?

Sign-up to join our mailing list for updates and access to tutorial & office hour sessions with our mentors.

Ready to be a part of WiDS Trinidad and Tobago 2023 Datathon Workshops and Regional Events?

See supporting Workshops and Regional Event Dates.

WiDS Trinidad and Tobago

Datathon Workshop & Regional Events

The WiDS Trinidad & Tobago is hosting virtual workshops and regional events in support of the international WiDS Datathon Challenge 2023. The main goals are:

  • to provide data science enthusiasts with the necessary knowledge, resources and tools to assist in the international WiDS Datathon challenge and beyond

  • to promote awareness about data science experiences from the female perspective, featuring women in data science-related fields in academia and industry

Workshop 1 (Virtual) - Saturday 4th Feb 2023 - 10 30 am AST

Title: Data Science Overview & the WiDS 2023 Datathon Challenge

Data science: A beginner's guide - Dr. Letetia Addison

Overview of the WiDS 2023 Datathon challenge and data set- Ms. Usha Rengaraju

Workshop 2 (Virtual) - Saturday 11th Feb 2023 - 10 30 am AST

Title: Data Science Methods at a glance

Gentle introduction to Pandas - Ms. Fazeeia Mindy Mohammed

Data science prediction methods - Ms. Alleanna Clark

Workshop 3 (Virtual) - Saturday 18th Feb 2023 - 10 30 am AST

Title: Finished training your ML Model: What Next?

Insights and challenges when ML Models are deployed in the real world - Ms. Sarah Ostermeier

Spotlight Talk (Virtual) - Saturday 4th March 2023 - 10 30 am AST

Title: AI Applications in Agriculture in the Caribbean

The FAAIR project aims to demonstrate modern Caribbean farm resilience and adaptability by incorporating AI technology. This spotlight talk investigates the processes, applications and challenges of the FAAIR project related to Climate change and its overall effect on small farming within the Caribbean

Speaker: Ms. Fazeeia Mindy Mohammed

Fireside Chat (Virtual) - Saturday 11th March 2023 - 10 30 am AST

Title: Women In Data Science: Stories from the fields

Attitudes and perceptions about data science from the female perspective

This Fireside Chat features women in data science-related fields in academia and industry from around the globe to promote awareness about data science experiences from the female perspective.

Combined Speaker list for Workshops and Talks








Data Analyst, digicel

trinidad and Tobago













Ms. alleanna clark


MUSOra media INC.,




ministry of education

trinidad and Tobago




trinidad and Tobago

Featured Invited Speaker

First Place in WiDS Datathon 2022

Ms. Usha Rengaraju

Usha currently heads the data science research at Exa Protocol, and she is the World’s first women triple Kaggle Grandmaster. She specializes in Deep Learning and Probabilistic Graphical Models and was one of the TigerGraph “ Graph for all - Million Dollar Challenge” judges in 2022 and also the judge for oneAPI Hackathon 2022 organized by Intel Software .

Usha ranked as one of the top ten Data Scientists in India for the year 2020 by Analytics India Magazine, as one of the top ten women data scientists by Analytics Insight magazine for 2021, and as one of the top 150 AI Leaders and Influencers by 3AI magazine. She organized NeuroAI, which is India’s first-ever research symposium on the interface of Neuroscience and Data Science. She also organized the Neurodiversity India Summit, which is India’s first-ever conference in Neurodiversity.

Usha is one of the winners of “ML in Action” competition organized by the ML Developer programs team at Google, and her team won first place in the WiDS 2022 datathon organized by Stanford University . Recipient of Kaggle ML research spotlight prize .

Check out her YouTube channel by clicking the icon below.

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Organising Committee

Dr. Letetia Addison

WIDS T&T Ambassador

Letetia holds the Ph.D. Mathematics and M.Phil. Statistics from the University of the West Indies (UWI), St. Augustine Campus. She is currently a Project Officer and Statistical Consultant at the University Office of Planning at the UWI, St. Augustine Campus. She has over 10 years’ experience lecturing tertiary level courses in Mathematics, Probability, Statistics, as well as active involvement in statistical consulting, research and outreach. In addition to this, she builds data-driven models for Higher Education data and her research interests include multidisciplinary applications of mathematical and statistical models for sustainability in STEAM fields. Her team secured first place in the Growth & Resilience Dialogue (GRD) 2022 Climate Resilience Data Challenge, involving the development of AI application prototypes on key climate data issues in the OECS/ECCU region. She has also participated in the WiDS Datathon 2022 Challenge and is a current member of the American Statistical Association (ASA) and ASA GivesBack Leadership Team, using outreach to promote the importance of Statistics and Data Science in various fields. Letetia is currently a Women in Data Science (WiDS) T&T Ambassador as part of the annual WiDS Worldwide conference organized by Stanford University, featuring outstanding women in the field of Data Science.

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Fazeeia Mohammed is dual degree holder in Environmental and Natural Resource Management and Computer Science with a minor in Biology. She is currently a research scientist at TTLAB and a data analyst at the Digicel Group in Trinidad and Tobago. She has special research interests in the areas of Biology, Environmental and Machine Learning. As technical lead for the Farming Adaptation and Artificial Intelligence for Resilience research project, funded by National Geographic and Microsoft she was able to intersect these two areas of study to produce tools to add insights into agriculture. She invests her time and energies into innovating ways to streamline different data pipelines from collection to actionable insights through the use of tools like Python, Power BI, Microsoft Azure and MyOracleSQL. She has a range of projects under her domain that include broad topics such as, chat-bot development, natural language processing, computer vision, forecasting, KPI evaluation, customer segmentation and deep learning.

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Shannon-Rae is a self-taught aspiring data scientist and M.Sc. Renewable Energy Engineering student at the University of Trinidad and Tobago. She has also obtained a B.Sc. in Chemical and Process Engineering from the University of the West Indies. Her research is focused on increasing levels of energy efficiency and sustainable energy locally using photovoltaic energy. Her M.Sc. capstone project seeks to highlight Machine Learning applications to the Renewable Energy sector. She is currently a Data Science Intern at CIBC First Caribbean International Bank and an active member of the TTLAB organization.

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Mercedes is a current student in the MSc. Data Science programme at the UWI St. Augustine. She also holds a BSc. in Economics and Psychology from the University of South Florida and an MSc. in Psychology from Maastricht University in the Netherlands. She has conducted research in the areas of executive function and self-control, refugee integration, child maltreatment, and education. Currently, she works as an Educational Research Officer at the Ministry of Education where she analyzes student performance data and conducts research to identify factors contributing to student success. Her research interests include the application of machine learning models to predict student success and the application of data science to social development in general.

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Shankar Ramharack is a final year Electrical and Computer Engineering student at the University of the West Indies (UWI) currently specializing in Energy Systems. Some of his student projects include using Bi-Directional Neural ODEs in load forecasting, using changepoint detection for cable fault location and assisting in developing a framework for Data-Logging in Battery Electric Vehicles. He has collaborated on developing A Probabilistic Model using Monte Carlo Simulations for Electric Vehicle Charging in a Distribution Network. His interests lie in data driven engineering and using statistical analysis to develop more robust and efficient energy systems.

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Jaimie is an alumnus of Sorbonne University in Paris with a BSc Physics and a graduate of the UWI with a MSc Biomedical Physics. Her research falls within Crystallography and Computational Materials Science, where she has applied Machine Learning to X-ray diffraction data for crystalline phase identification and quantitative Materials characterization. She considers herself a general Physics enthusiast, but is especially interested in Quantum Computing for Optimization and Machine Learning problems in Materials modelling. She has participated in international IBM Quantum coding schools and challenges covering Quantum Machine Learning and Quantum Optimization and is now an IBM Certified Developer in Quantum Computation using Qiskit.

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Aadidev is a current M.Sc. Data Science Student at the UWI St Augustine after graduating from the BSc Electrical and Computer Engineering with a specialty in Computer Systems. His current pursuits lie in machine learning, specifically optimizing classic methods for few-shot image/video processing and natural language processing. His side-hobbies include Indian classical music and photography. He has worked both in the aviation industry (Augmented Reality application development) and the public sector (process optimization), and is currently an Associate Professional in the Department of Engineering at UWI St Augustine.

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Riana Kandhai recently graduated from The University of the West Indies (UWI) with a BSc in Mechanical Engineering (First Class Honours) and is currently pursuing her MPhil Mechanical Engineering. She works at the UWI, as a Teaching Assistant, in the Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and as a Lecturer at the School of Business and Computer Science Global Learning Institute (SBCS GLI) Limited. She is also a Volunteer and Team Lead for the MindWise Project. Her interests are in Women and Gender, Mental Health and Climate Activism.

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WIDS T&T 2023


nicholas smith

WIDS T&T 2023 mentor

Nicholas Smith is a final-year student at the University of the West Indies, where he is pursuing the B.Sc. Computer Science (Special). In addition to tertiary courses, he has done his own independent study in AI. As a result, he applied to two udacity challenge courses in the field of machine learning and was selected to take part in a Nanodegree programme in Artificial Intelligence with Python using neural networks to create an image classifier as the final project. He enjoys looking for online courses that would offer a basic understanding of various technologies. He would create side projects to put his abilities and knowledge to the test after finishing these online courses. He participated in a Youth Speak Up initiative as a volunteer mentor. As a former club executive for the Computing Society at the University of the West Indies, he gave a presentation on the advantages of Git and Github. He is always seeking new ways to develop his abilities.


Frequently Asked Questions (FAQs)

How much of a data science background do I need to participate in the WiDS Trinidad & Tobago Datathon Workshops and Regional Events?

In support of the WiDS Datathon Challenge, WiDS Trinidad & Tobago Events are open to persons of all backgrounds, including absolute beginners in data science. Workshops are intended to peak interest in the field and to encourage a community of persons of all levels (Beginners and beyond) to network in a safe community space.

I do not identify as a woman. Am I allowed to participate in the WiDS Trinidad & Tobago Datathon Workshops and Regional events?

Yes, we encourage diversity and everyone is encouraged to participate. The main goal of the WiDS Trinidad & Tobago Datathon events is to support the international WiDS Datathon Challenge by empowering women (and others) to pursue data science related fields, with supporting material and community networking and engagement. Workshops and Panel Discussions will be presented by persons identifying as women and are both technical (discussing data science methods, applications) and non-technical (experiences in the field). We urge all aspiring and current data scientists (of any gender) to actively engage in these important discussions.

Do note that persons participating in the international WiDS Datathon Challenge must have 50% of the team identifying as females. Teams can be 1 to 4 persons maximum.

I am not entering the WiDS Datathon Challenge. Am I allowed to participate in WiDS Trinidad & Tobago Datathon Workshops and Regional events?

Yes! We would like anyone who has an interest in the field of data science to register for the WiDS Trinidad & Tobago Datathon Events.

I am not from Trinidad and Tobago. Am I allowed to participate in WiDS Trinidad and Tobago Datathon Workshops and Regional events?

Yes, we welcome data science enthusiasts locally, regionally and internationally.

What is the cost to attend WiDS Trinidad and Tobago Workshops and Regional events?

All events are free. There is no cost attached.

Do I need to register for WiDS Trinidad and Tobago Workshops and Regional events?

Yes, we encourage you to register for the specific events you are interested in. The links will be updated on the specific registration pages.

Who do I contact if I have any specific questions about the WiDS Trinidad & Tobago Datathon Workshops and Regional events?

Should you have any queries, you are welcome to contact your friendly WiDS Trinidad & Tobago Ambassador, Dr. Letetia Addison, at widsttgroup@gmail.com .


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