About

I began my career in management, specializing in finance, and along the way, discovered a deep passion for data. My curiosity was sparked when I learned Python during my master’s program, and I took it further by teaching myself, diving deep into analytics, and completing a post-graduation in Enterprise Data Science & Analytics.

Now, I bridge the gap between finance and data science, transforming complex information into clear, actionable insights. With experience in the banking industry, I help businesses make smarter, data-driven decisions – whether it’s optimizing processes, uncovering trends, or solving real-world challenges.

As a data scientist with three years of experience, I specialized in data processing and analysis, using various tools to enable organizations to make better decisions and improve core business processes. My expertise includes Python, SQL, JSON, HTML, VBA, Microsoft Office, and PowerBI.


  • Identifying relevant data sources to meet business needs
  • Collecting and managing both structured and unstructured data
  • Sourcing and organizing missing data
  • Transforming data into usable formats
  • Building predictive models
  • Enhancing data collection processes