I am a Data Scientist with a strong academic foundation and a passion for analytical problem-solving. I recently earned my Master’s degree in Data Science from the University of Wolverhampton, United Kingdom, building on a background in Computer Science (B.Sc.) and Philosophy (B.A.).

My academic journey has been rooted in curiosity, discipline, and a deep interest in how data can be transformed into knowledge. Through my studies and hands-on projects, I have developed proficiency in Python, R, and SQL, along with extensive experience in:

Machine Learning & Predictive Modeling

Statistical Analysis & Hypothesis Testing

Data Visualization using Power BI and Tableau

Exploratory Data Analysis (EDA)

Time Series Forecasting & A/B Testing

Database Management & Data Cleaning

I have applied these skills in both academic and professional settings to solve real-world problems, from building models that improve customer retention, to designing dashboards that enhance business intelligence.

As a member of BCS – The Chartered Institute for IT and the IT Professionals Network, I stay committed to continuous learning and applying best practices in the field of data science. My goal is to bridge the gap between complex datasets and actionable insights, supporting smarter, evidence-based decision-making.