Fardin Sheikh Milani

Working with discrete/continuous distributions, density/cumulative functions, conditional probability

Test design, p-value calculation, sample size determination, power analysis

Understanding bias-variance tradeoff, overfitting, cross-validation, evaluation metrics

Modeling stochastic processes, uncertainty quantification, scenario analysis

Goodness-of-fit methods, candidate distribution selection, validation techniques

Latin Hypercube, importance sampling, variance reduction techniques

Experimental design, input variable definition, baseline vs improvement scenarios

Tornado plots, correlation analysis, key parameter identification

Distribution analysis, percentiles, Value at Risk, risk measures

OLS, Ridge, Lasso, ElasticNet with regularization and feature selection

Logistic Regression, Naive Bayes, k-NN, SVM, Decision Trees, Random Forest

XGBoost, LightGBM, CatBoost - conceptual understanding and implementation

MLP, CNN fundamentals, RNN/LSTM/GRU - basic architecture understanding

Basic understanding of Q-learning and policy gradients

MLP for regression and classification with multiple hidden layers

Understanding convolution, pooling and application in vision tasks

LSTM, GRU for sequential data and time series forecasting

Loss functions, optimization (SGD/Adam), dropout, batch norm, early stopping

Learning rate scheduling, gradient clipping, convergence monitoring

Handling missing values, outliers, normalization, categorical encoding

Joins, aggregations, window functions, subqueries for business intelligence

Normalization, relationships, constraints, basic optimization

Stored procedures, indexing, performance tuning, JSON operations

Data manipulation, vectorization, efficient large-scale operations

Pipelines, preprocessing, model selection, evaluation metrics

Data visualization, statistical plots, publication-quality figures

Dynamic computation graphs, autograd, custom layers, training loops

Statistical modeling, hypothesis testing, time series analysis

Version control, branching strategies, code review, collaboration

Design patterns, authentication, rate limiting, documentation

Full-stack development, ORM, authentication, security best practices

Pytest, unit testing, integration testing, code coverage

Modern web standards, responsive design, accessibility, performance

Component architecture, state management, hooks, performance optimization

User-centered design, prototyping, usability testing, design systems

Agile methodologies, user research, feature prioritization, metrics-driven development