I am driven to excel as a Data Analyst, IT Business Analyst, and Data Engineer, with a solid foundation in Information Systems and a profound passion for data. My goal is to further develop my data analysis skills and transition into data science and AI research over the next 2–3 years.
- Develop advanced data analysis skills
- Transition into data science and AI research
- Commit to a long-term professional relationship with a company (at least 5 years)
- Bring enthusiasm, dedication, and innovation to contribute significantly to the company
- High-quality results delivery
- Innovation and problem-solving
- Lifelong learning and professional growth
- AI: Machine Learning, Deep Learning, BigDL
- Data Analysis & Business Analysis: Excel, SQL, Power BI, Tableau, R, Python (pandas, NumPy, matplotlib, seaborn), Google Analytics
- Database: SQL, Neo4j, MongoDB, Oracle
- Information Elicitation & Requirement Analysis
- Business Knowledge
- Negotiation & Problem Solving
- Documentation: Software Requirement Specification, Business Requirements, Use cases, BPMN 2.0, Functional and Non-functional requirements, GUI specification
- Enhancing Communication and Collaboration: Facilitating efficient interaction among clients and stakeholders
- Data Preprocessing, Data Cleansing, Data Integration
- Communication skills
- Good at Teamwork
- Attention to detail
- Good at English communication
- Data visualization
- Data analysis & Data consistency
- Machine Learning (basic)
- Deep Learning (basic)
- Test API (Postman)
- Programming Languages: C++, Python, SQL, R, Statistics
- Fundamental Technology Knowledge: SDLC, Software Structure, MDX
- Project Management Tools: Trello
- Data Visualization Tools: Draw.io, Figma, PowerBI
- Microsoft Office: Word, Excel, Powerpoint
- Software Development: Scrum
- Software Development With Scrum - View Certificate
- Google Data Analytics Specialization - View on Coursera
