Negar Abedini

Dedicated applied mathematics student with machine learning, data analysis, and statistical modeling expertise. Skilled in developing analytical solutions for real-world challenges through data-driven methods and mathematical modeling. Consistently contributes to impactful projects using Python, MATLAB, and R. Applies structured problem-solving and optimization techniques to deliver reliable, practical outcomes.

Advanced Machine Learning (Python),  Sep2023 _ Jul2024,

• Implemented logistic regression and neural networks for classification in Python (NumPy, scikit-learn)
• Studied supervised and unsupervised learning, model selection, and regularization techniques
• Explored generalization and complexity to evaluate model performance

Stochastic Processes for Finance (Python),  Sep_Dec 2024

• Studied no-arbitrage and risk-neutral valuation for pricing financial derivatives
• Applied Ito's calculus and Girsanov’s theorem to solve Black-Scholes and compute Greeks
• Modeled financial systems using SDEs, martingales, and Brownian motion

Time Series (R),  Sep_Dec 2024

• Analyzed real-world datasets in R using time series decomposition and forecasting methods
• Modeled patterns with ARMA and non-linear models to capture complex temporal behavior

Statistical Models (R),  Sep_Dec 2023

• Built predictive models using LASSO, ANOVA, and GLMs
• Applied Poisson and logistic regression for statistical analysis

Mathematical Optimization (Python),  Nov_Dec 2024

• Solved station placement and path problems using MILP, MILO, and convex optimization
• Applied chance constraints and elastic net; enhanced time management and problem-solving skills

• Machine Learning Theory
• Advanced Machine Learning
• Stochastic Processes for Finance
• Time Series
• Applied Stochastic Modeling
• Optimization of Business Processes
• Statistical Models
• Mathematical Optimization
• Numerical Methods for Time-Dependent Partial Differential Equations

• Data Analysis
• Machine Learning
• Finance
• Time Series
• Statistics
• Neural Network
• Optimization