Data Scientist Professional with R
Datacamp, Dec. 23 - Mar. 24
An intensive program spanned 120 hours, offering a unique blend of 30 specialized courses and 20 hands-on projects in the following areas:
Data pre-processing
Data Cleaning, wrangling, and imputation
Statistical Inference and Visualization
Sampling and experimental design
Feature Engineering
Statistical and machine learning
regression vs classification
supervised vs unsupervised
SQL
Training program at Robotron, 2022
Data Retrieval and Data Manipulation
Table Operations, Joins, and Subqueries
Advanced Query Techniques
Data Security and Permissions
Normalization and Database Design
Performance Optimization
PLSQL
Training program at Robotron, 2022
Variables and Control Structures
Procedures and Functions in PL/SQL
Exception Handling
Cursors and Records in PL/SQL
Triggers in PL/SQL
Advanced PL/SQL: Packages and Types
Dynamic SQL
Error Handling and Debugging Techniques
(Certifications are available)
Workshops
Centre for Junior Scientists, Technical University of Chemnitz, 2017-2020
Project Management
Strategic Networking
Advancing Presentations
Cross-cultural cooperation
German Work Culture
(Certificates are available)
Master of Science - Applied Mathematics for Network and Data Sciences
The master’s program provided me with advanced theoretical and practical knowledge in applied mathematics, focusing on skills essential for digital media and technology. Through this program, I gained the ability to independently acquire new knowledge in mathematics and computer science, recognize emerging scientific and technological trends, and integrate them into academic or professional work. Key areas of study included:
Machine learning
Computational artificial intelligence
Advanced data mining
Time series analysis
Statistical modeling
Simulation and bootstrap
Mathematical optimization
Graph and network analysis
Python programming
Coding theory