I’m a Data Scientist & Machine Learning Enthusiast passionate about turning raw data into meaningful insights. With experience in data analysis, machine learning, and visualization, I love solving complex problems and making data-driven decisions.
Education:
M.S., Computer Science (Machine Learning) | Georgia Tech (Expected Dec 2027)
B.A., Data Science (Business & Industrial Analysis) | University of California, Berkeley (Dec 2024)
What I Do:
Build machine learning models to solve real-world problems
Design data pipelines for predictive analytics
Develop interactive visualizations to make data more accessible
Apply statistical analysis & A/B testing for data-driven insights
Tech Stack:
Languages: Python, SQL
Frameworks & Libraries: Pandas, NumPy, Scikit-learn, PyTorch
Tools: Tableau, Jupyter Notebook, Google Colab