Hi Everyone !!! From engineering circuits to decoding data for Fortune 500 giants, my journey has been all about curiosity, numbers, and impact. I am Ameya Dalal, currently working as a Senior Data Analyst at Fidelity International in Dublin, Ireland. Began my academic path in Pune, India, with a Bachelor’s degree in Electronics and Telecommunication Engineering from Sinhgad College of Engineering. Those years gave me a strong foundation in problem-solving and analytical thinking, but my fascination with data-driven decision-making pushed me further. That’s when I pursued a Master’s in Data Analytics at the National College of Ireland, Dublin a transformative step that blended my technical background with business intelligence and advanced analytics. Over the past 6+ years, I’ve worked with leading organizations like Amazon, Fidelity International, EirGrid, and Embfute Technologies, where I turned raw data into strategies that moved the needle. At Amazon, I transformed thousands of customer reviews into insights that lifted product ratings and revenue. At EirGrid, I helped optimize Ireland’s energy operations with real-time dashboards. With Fidelity, I stepped into the complex world of financial data—integrating Bloomberg feeds, collaborating with global traders, and building 15+ impactful dashboards that sped up analysis and informed multi-million-dollar decisions. Alongside my roles, I’ve dived into passion projects like analysing Swiggy’s food delivery patterns to cut cancellations by 15%, and exploring Generative AI use cases to automate client interactions and improve retention. What drives me is the belief that data is more than numbers it’s stories waiting to be told. Every dashboard I create, every SQL query I run, and every model I build is about empowering teams to make smarter, faster, and more confident decisions. Now, on Topmate, I’m here to share those lessons from breaking into the world of analytics, to mastering tools like Tableau, Power BI, SQL, and Python, to navigating the real-world challenges of data in finance, e-commerce, energy, and healthcare.