Data Analyst I aim to apply my academic background in data analysis to analyze complex data sets, identify trends, and provide recommendations that will help the organization optimize performance and achieve its objectives. Adept at working with cross-functional teams to provide business solutions and improve decision-making.
Cloud technology
Microsoft azure: proficient in deploying and managing applications using azure services, including virtual machines, networking, and resource management.
Amazon AWS: acquainted with AWS cloud services, contributing to an understanding of cloud-based infrastructure and solutions.
Docker & Kubernetes: familiar with containerization concepts and orchestration using docker and Kubernetes, optimizing application deployment.
Database and Data analysis
MYSQL & RDBMS: skilled in working with relational databases, managing data, writing complex queries, and ensuring efficient data storage. Database management: experienced in data modeling, migration, and optimization, contributing to structured data management practices.
Data analysis: proficient in using data analysis tools like power bi and tableau, translating raw data into actionable insights for informed decision-making.
Software Development
Programming languages: Strong understanding of coding languages like python, C, C++, Json ,R
Git & GitHub: proficient in version control using git and GitHub, collaborating on codebases and managing software development processes.
Devops and Infrastructure
Docker & Kubernetes: proficient in containerization and orchestration using docker and Kubernetes, streamlining application deployment and scaling.
Linux administration: skilled in Linux server administration, managing server configurations and optimizing system performance.
Cybersecurity awareness: knowledgeable about cybersecurity principles, contributing to the development of secure software solutions.
Data streaming and Visualisation
Apache kafka: familiar with apache kafka as a data streaming platform, enhancing real-time data processing capabilities.
Power bi & tableau: specialized in creating compelling visualizations and dashboards using power bi and tableau for effective data communication.
Machine Learning
Proficient in machine learning techniques, including data preprocessing, feature selection, and model training, leading to successful project implementations. Experienced in real-time data streaming and analysis.