About Me
Hi, I’m Richa!
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A Little About Me
I’m a graduate student studying analytics at Boston University with a background in cognitive science and computer science. I’ve always been interested in understanding how things work, especially when it comes to the connection between people, technology, and data.
Through school and my professional experience, I’ve had the opportunity to work with real datasets and business problems across several industries, including EV charging and energy infrastructure, HVAC and building technology, sales, logistics and delivery operations, digital health and telehealth, short-term rentals, and the job market. These experiences have exposed me to different types of data and business questions, from analyzing sales and operational performance to exploring user behavior, customer needs, and market trends.
I’ve found that I especially enjoy working through large or messy datasets, figuring out which patterns actually matter, and using what I find to answer practical business questions and support better decisions.
My Interests
Data Analytics Business Intelligence Machine Learning AI & LLMs Data Visualization Operations Analytics Process Improvement
I’m especially interested in the point where technical analysis meets real business decisions. I enjoy exploring why performance changes, identifying patterns that are not immediately obvious, and thinking about how data can be used to improve operations, strategy, and decision-making.
More recently, I’ve also been interested in how AI tools such as large language models and retrieval systems can be incorporated into practical applications. As I continue learning, I’m interested in building experience across both traditional analytics and newer AI-driven technologies.
Career Goals
As I continue building my experience, I hope to pursue roles in data analytics, business intelligence, and related areas where I can work with real business problems from beginning to end.
I’m particularly interested in opportunities where I can combine technical analysis with business context, whether that means investigating performance trends, building dashboards and analytical tools, developing data-driven recommendations, or working with emerging technologies.