Data Science & Analytics | Python | Machine Learning | Power BI

I am a Microbiology student with a strong foundation in empirical research, scientific methodology, and analytical problem-solving. I am applying these strengths to data science, predictive modeling, and business analytics.

I build data-driven solutions using Python, Power BI, Excel, and scikit-learn. My experience includes data cleaning, exploratory data analysis, dashboard development, classification, and regression modeling.

I have completed machine learning projects involving loan eligibility prediction and student score prediction. These projects strengthened my ability to preprocess datasets, evaluate model performance, and translate analytical findings into practical insights.

I also have experience cleaning financial transaction data, handling missing values and duplicates, detecting outliers using the IQR method, and creating reusable data-validation workflows. I have developed interactive Power BI dashboards for loan reporting and HR analytics, using KPI cards and visual analysis to communicate trends in performance, retention, demographics, and satisfaction.

I am currently deepening my skills through the IBM Data Science Professional Certificate and continuing to build practical experience across data analysis, machine learning, and Python.

I am interested in opportunities where data, technology, and scientific thinking come together, particularly roles that allow me to solve analytical problems while developing as an early-career data professional.