I am a Data Science and Analytics professional with experience transforming complex data into actionable insights across the energy industry. With a Master's degree in Data Science from Drexel University, I specialize in artificial intelligence, machine learning, predictive analytics, business intelligence, and data-driven decision-making. Throughout my career, I have worked on enterprise-scale analytics initiatives, leveraging Python, SQL, Power BI, and machine learning to improve operational efficiency, automate reporting, and support strategic decisions. My work includes analyzing millions of operational records, developing predictive insights, and building scalable analytics solutions that bridge the gap between technical innovation and business impact. Beyond my professional work, I am passionate about knowledge sharing, mentorship, and making AI more accessible. I have been a guest speaker at Drexel University, mentored emerging innovators through AI-focused hackathons, and supported students and early-career professionals navigating careers in technology. I am particularly interested in responsible AI adoption, applied machine learning, data quality, and the evolving role of analytics in transforming traditional industries. Through speaking and mentorship, I aim to share practical lessons from real-world projects, encourage meaningful conversations, and inspire others to turn data into impactful solutions.