
I transform complex data into actionable insights, crafting solutions that bridge gaps in business, education, and development. From analyzing user behavior to empowering communities through evidence-based decisions, I aim to make meaningful impact wherever numbers meet real life.

I’m Manisha Deshar, co-founder of Support My School, former president of UDESHYA – Girls in STEM, and a data analyst turning data into meaningful insights.
I work across the full data cycle—cleaning, exploring, modeling data, building dashboards, and running experiments to uncover meaningful patterns in user behavior.
I am passionate about the intersection of data, technology, and human behavior, I bring strategic vision to projects, transforming insights into decisions that create real impact.
Beyond analytics, I care deeply about education, equity, and empowering girls in STEM, leading initiatives that combine data expertise with lived experiences to drive meaningful change.
Real-world applications of Data Science, Machine Learning, and Analytics.

Utilizing OLS regression and elasticity analysis on data from 2000–2022, this project quantifies how rising life expectancy, urbanization, and female labor participation became the primary drivers of Nepal's significant fertility decline.

As part of the 'Support My School' initiative, I worked closely on organizing and cleaning school data, analyzing survey responses, and creating intuitive visual dashboards. These efforts helped highlight areas for improvement, inform decision-making, and provide actionable insights to support education programs effectively.

I designed and developed a modern Sales Analytics Dashboard leveraging Looker Studio. By synthesizing complex Excel datasets into an intuitive visual interface, I created a centralized platform that empowers leadership to monitor business health and identify growth opportunities at a glance.
An opinion piece exploring how data-driven decision making is evolving in Nepal's policy landscape, highlighting key progress areas and remaining structural barriers.
Findings from a multi-region needs assessment covering 500+ students, analyzing the correlation between budget transparency and educational outcomes.
I'm always open to discussing data strategy, new opportunities, or just geeking out over the latest in AI.