I firmly believe that education is the key to uplifting underrepresented and underserved communities. Through these projects, I aim to bridge the gap in data literacy and artificial intelligence literacy by providing accessible training, mentorship, and real-world learning opportunities. My goal is to empower individuals with the skills they need to thrive in a data-driven world, ensuring that no one is left behind in this era of rapid technological advancement. For me, this work is about creating opportunities, fostering inclusion, and using education to make a lasting impact. With the support of like-minded individuals from Myanmar Data Tech, we have brought these community projects to those who need them the most, addressing critical gaps and paving the way for meaningful change.
Pyinmana’s Silent Struggle
Pyinmana is a historically significant town located in the Mandalay Region of central Myanmar. It’s one of the original townships—alongside Lewe, and Tatkon—that now form part of the Nay Pyi Taw Union Territory.
With the establishment of Nay Pyi Taw as the new administrative capital in 2005, Pyinmana’s identity and importance have gone through some major changes—many of which have led to it being overlooked or absorbed by Nay Pyi Taw.
On 28 March 2025, an earthquake struck Myanmar, and Pyinmana was one of the towns severely damaged—its infrastructure rendered nearly nonfunctional. Yet, the town has been largely overlooked, not only by international donors but also by the local community. This project focuses on collecting data and creating an interactive dashboard to document and highlight the damage caused by the earthquake in Pyinmana.
More Info: Interactive Dashboard
Myanmar Women in Tech
This project focuses on analyzing the challenges faced by women in the technology field. Using developer surveys and demographic analysis, it identifies barriers to success and opportunities to foster greater inclusivity. The findings aim to inform policies and practices to support women in technology.
The study’s results revealed several significant challenges that women in technology in Myanmar face, including limited access to mentors, cultural biases, and insufficient support systems. Based on these findings, we propose creating mentorship opportunities and offering training to support women in tech and narrow the gender gap in Myanmar.
Based on these findings, we launched the MMDT Learn Together program, which provides a structured three-phase data training initiative. This program aims to address the identified gaps by offering mentorship, world-class data education resources, and community support to empower women and others pursuing careers in technology.
Learn Together with MMDT: Data Skills Training Program
This project supports participants through a three-phase data training program in partnership with MMDT and DataCamp. ith 100 participants in Batch 1 and 35 in Batch 2, the program is designed to build foundational data literacy, advance career-specific skills in areas such as Data Analytics with Python and SQL, and Data Science with Machine Learning, and guide participants in completing real-world projects. The program aims to equip participants with the skills needed to excel in data-driven careers while fostering a supportive learning community.
WiT Participant – A
“I joined the WiT workshop series with mixed emotions as I faced repeated rejections in my job application process. However, my spirits were lifted when I heard from the Guest Speaker who shared her own experiences of handling multiple rejections. Her stories ignited a fire within me and motivated me to keep pushing forward.”
Thiha K (MMDT).
“I fell very grateful to work with Tr.Myo. She really loves to do the project for the community without expecting anything in return. She always appreciate the efforts of her team, both privately and publicly, rather than seeking credit for herself. Thank you, Tr. Myo, for being a great leader and mentor. You inspire me every single day.”
KhineZar T.
“I have had an opportunity to work with Tr. Dr. Myo Thida on various initiatives such as Women in AI Myanmar, Women in Tech activities, Myanmar Data Tech Team, and GED Scholarship Projects. She has been a great source of inspiration, showing the true qualities of a leader—taking responsibility, leading with initiative, and guiding others with kindness and humility.
One of the most valuable lessons I have learned from her is true essence of volunteering. It is not just about helping others but also about guiding them to become independent. She also encouraged me to continuously improve my own skills and to learn from everyone with respect and an open mind. Thank you so much for everything!”