I apply algorithmic thinking and programming proficiency to solve complex problems at the intersection of data science and artificial intelligence, driven by the logic and potential of advanced computation.
Cleaned, transformed, and analyzed complex datasets using SQL to identify historical trends and key business performance metrics.
Designed and built interactive Tableau dashboards to visualize insights, translating raw data into clear, actionable recommendations.
Applied R programming for statistical analysis and delivered data stories tailored for project stakeholders.
Utilized Python and open-source tools like Jupyter Notebooks to extract, clean, and manipulate large-scale data.
Leveraged data science libraries including Pandas, NumPy, and Matplotlib to perform exploratory data analysis (EDA).
Developed predictive models and data pipelines to solve real-world problems through rigorous data storytelling.
Programming: Python, SQL, R, Markdown
Data Science Libraries: Pandas, NumPy, Matplotlib
Data Visualization: Tableau, Data Analysis
Tools & Environment: Jupyter Notebook, Spreadsheets (Excel)
Academic / Soft Skills: Statistical Analysis, Data Cleaning, Problem Solving
Teamwork and collaboration