Summary
Mohona Yesmin is an Energy Data Manager I based in the New York City area with nine years of multidisciplinary experience at the intersection of applied machine learning, generative AI, and energy data systems. She builds agentic pipelines that standardize heterogeneous LLM outputs into structured schemas and persist them in SQL-backed systems to enable reliable, multi-step automation and downstream analytics. Her background spans hands-on AI data science internships and a rigorous data immersion certification, coupled with research roles across academic labs, reflecting strong experimental rigor and data hygiene. At EN-POWER GROUP she applies these skills to operationalize data flows for the energy sector, translating complex models into actionable insights. Outside of work she mixes technical curiosity with a human touch—community organizing and campus leadership roles hint at strengths in collaboration and stakeholder engagement. She also has a sweet tooth, a small but telling detail that underscores her personable approach to teamwork.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA Neurobiology and Behavior Chemistry Film, Bachelor of Arts - BA Neurobiology and Behavior Chemistry Film at Wesleyan University
Advanced Data Immersive Certification, Advanced Data Immersive Certification at General Assembly
Advanced Regents Diploma, Advanced Regents Diploma at Marble Hill High School of International Studies