About Me
A dedicated data science graduate eager to uncover insights and solve complex problems through analytical thinking and innovative methods.
Relevant Coursework
Data Science & Analytics
- Machine Learning
- Applied Regression and Statistical Modeling
- Probability and Statistics
- Data Manipulation and Visualization
- Programming for Data Science (Python, R)
Mathematics & Programming
- Advanced Mathematics - Calculus I, II, III
- Mathematical Structures
- Differential Equations
- Linear Algebra
- Introduction to Programming (Python, Java)
Featured Projects
A showcase of my data science journey through academic and personal projects, demonstrating practical applications of machine learning and statistical analysis.
- Sales Forecasting using advanced regression models
- Decision Tree and Random Forest implementation
- Feature Engineering for improved model performance
- Interactive Tool Development for business insights
- Data Visualization with compelling business reports
- Strategic Business Insights and recommendations
- Sports Analytics with comprehensive player data
- Naive Bayes classification implementation
- Decision Tree and Random Forest models
- SMOTE Balancing for improved accuracy
- Feature Selection and model optimization
- Model Evaluation with detailed performance metrics
- Regression Modeling with comprehensive team statistics
- Statistical Testing and hypothesis validation
- Exploratory Data Analysis of historical data
- Model Evaluation with rigorous statistical methods
- Personal Health Analytics with sensitive data handling
- PostgreSQL database design and management
- SQLAlchemy for robust data operations
- Exploratory Data Analysis of biological patterns
- Time Series Trends analysis
- Personal Health Analytics dashboard
Let's Connect
I'm always excited to discuss data science opportunities, collaborate on projects, or share insights about the field. Let's start a conversation!