With a diverse background in software development, advanced analytics, and data science, I’ve cultivated a unique skill set that empowers me to solve complex challenges with precision and creativity. My career progression from software development engineer to data scientist has refined my algorithmic approach to problem-solving, allowing me to design and implement end-to-end data pipelines and independently prepare, model, and deploy data-driven solutions. With strengths in predictive modeling, big data cloud technologies, and a focus on practical applications, I transform vast datasets into strategic assets that fuel business growth.My expertise spans key areas such as collaborative filtering for personalized recommendations, fraud detection to safeguard financial integrity, and optimizing ads for high-impact go-to-market (GTM) campaigns in the consumer business. In Internal Audit, I've developed tailored solutions to expedite and improve the evaluation of gaps in consumer-facing platforms, resulting in substantial enhancements to risk assessments and strengthening business integrity via efficient and effective audit execution processes.Beyond professional projects, I’m deeply passionate about mentoring emerging talent and continuously expanding my expertise through personal projects. As a self-starter, I’m particularly excited about applying Generative AI for natural language processing and leveraging cloud platforms like AWS to scale these solutions effectively. My relentless pursuit is bringing structure to ambiguous problems, delivering solutions that not only address today’s challenges but also anticipate and resolve tomorrow’s.