Master’s Student in Big Data, AI & Advanced Applications
Specializing in Big Data technologies, Artificial Intelligence, and advanced software applications.
Specializing in Artificial Intelligence, Big Data technologies, and building Advanced Software Applications.
Python, SQL, Pandas, NumPy, Git, Data Cleaning & Manipulation, Exploratory Data Analysis (EDA), Statistical Analysis (hypothesis testing, sampling, bootstrapping), Data Visualization (Matplotlib, Seaborn), Communicating Results, etc.
Data Analysis skills plus Machine Learning fundamentals (scikit-learn), Supervised & Unsupervised Learning, Tree-Based Models, Ensemble Learning (Random Forest, Gradient Boosting), Model Fine-Tuning & Hyperparameter Optimization, Dimensionality Reduction (PCA, t-SNE), Feature Engineering, Model Evaluation & Validation, Statistical Modeling (statsmodels), Applied Statistics for Data-Driven Decision Making, Basic Predictive Analytics, etc.
Databases & SQL, data pipelines fundamentals, data processing concepts, etc.
Python, Java, Spring Boot, Android Development, OOP, Algorithms & Data Structures, etc.
Specializing in Big Data technologies, Artificial Intelligence, and advanced software applications.
Graduated with a strong foundation in Computer Science and Mathematics.