Welcome to my GitHub profile! I am a passionate data analyst with a drive for uncovering insights and driving data-driven decisions. I am excited about the potential of data analytics to transform businesses and optimize decision-making processes.

• Languages: Python, R, SQL
• Data Visualization: Tableau, Matplotlib, Seaborn
• Data Manipulation: Pandas, tidyverse, SQL
• Statistical Analysis: Hypothesis testing, Regression analysis
• Machine Learning: Scikit-learn
• Tools: Jupyter Notebook, R Studio, Excel

• Bachelor's degree in Actuarial Science with a Minor in Statistics, Penn State University
• Completed Google Data Analytics Professional Certificate, Coursera
• Completed IBM Data Analyst Professional Certificate, Coursera

• Predictive Modeling Project: utilized Python's scikit-learn library to conduct regression analysis.
• Customer Behavior Analysis: utilized R to perform exploratory data analysis and statistical data analysis and visualized my findings on Tableau.
• SQL Data Cleaning: utilized SQL on IBM DB2 to clean data and visualized my findings on Tableau.
• Investment Analysis Project: Analyzed solar battery investment with Python, calculating potential savings, NPV, and IRR for informed decision-making.
• Interactive KPI Dashboard: utilized Excel to create an interactive KPI dashboard using pivot tables, pivot charts, and slicers.

I'm always eager to collaborate and share knowledge. You can reach me via email or connect with me on LinkedIn. Feel free to explore my repositories and projects on this GitHub profile. Don't hesitate to reach out if you have any questions or opportunities for collaboration!

Looking forward to connecting with you and exploring the exciting world of data analytics together!