Areas of Interest

Take a look at some of the things that fuel my curiosity and creativity.

Machine Learning

I  explore supervised and unsupervised learning techniques to build predictive models that solve real-world problems. I enjoy designing clean ML pipelines using tools like Scikit-learn, TensorFlow, and XGBoost, focusing not just on accuracy, but on interpretability and real impact.

Data Analytics

I use data to uncover trends, patterns, and actionable insights. From cleaning and transforming datasets in Python and SQL to building dashboards in Excel and Power BI, I focus on turning raw data into stories that drive informed decisions.

Data Visualization

I believe good data is only useful if it’s well communicated. I specialize in crafting visual narratives using Matplotlib, Seaborn, and Power BI - bringing clarity to complex datasets and making insights accessible to both technical and non-technical audiences.

Business Intelligence (BI)

I bridge the gap between data science and business. From crafting KPI dashboards to modeling customer behavior, I transform insights into strategy using tools such as Excel, Power BI, and SQL.

Ethical AI and Fairness

I’m passionate about building responsible AI systems that are transparent, explainable, and fair. I care about model bias, privacy, and how data-driven decisions affect real lives.

Data Engineering

I’m building my skills in designing data pipelines and managing large datasets using tools like SQL, Apache Spark, and Airflow. Clean, scalable data infrastructure is essential for impactful analytics and ML - and that’s what I focus on.

Natural Language Processing

I work on projects that analyze and understand human language - from sentiment analysis to text classification. I enjoy applying tools like spaCy and Hugging Face to extract meaning from unstructured data.