I am currently undertaking a hands-on Data Analyst internship, where I am deepening my knowledge and skills in data analysis and business intelligence. This experience focuses on building both technical and analytical competencies, with coursework and projects that include:• Utilize Python and SQL to prepare and clean data for analysis, enhancing data quality.• Create impactful visualizations and dashboards using Tableau and Power BI for data-driven decision-making.• Develope skills in data governance to ensure data quality, security, and compliance.This internship is not only equipping me with technical expertise in tools like Python, SQL, Tableau, and Power BI but is also fostering a deeper understanding of how data drives business decisions.

• Validating and cleaning network performance data in Excel to ensure accuracy and reliability.• Utilizing Python for deeper data analysis, uncovering insights to enhance network quality and operational efficiency.

• Python (Programming Language): Completed the PCAP certification, focusing on Python, with hands-on exercises and projects to deepen my understanding of programming concepts.• Microsoft SQL Server: Developed proficiency through extensive practice in data management and analysis, enhancing my SQL skills.• CCNA Training: Acquired knowledge in networking, including: - Switching and routing techniques - IPv4 and IPv6 - Cloud fundamentals and automation technologies

During this diploma, I gained a comprehensive understanding of the data science lifecycle and applied these concepts in multiple projects. The program equipped me with essential skills and knowledge, using Python as the primary programming language for all tasks, including:● Exploratory Data Analysis (EDA): Uncovering insights and patterns through thorough data exploration techniques.● Data Cleaning: Ensuring data quality and reliability by handling missing values, outliers, and inconsistencies.● Supervised and Unsupervised Algorithms: Mastering machine learning techniques, including regression, classification, clustering, and more.● Model Deployment: Understanding how to deploy machine learning models to real-world applications effectively.The capstone project, Loan Approval Prediction, was a practical application of these skills. In this project, I:● Preprocessed and analyzed data to uncover significant trends using Python.● Applied machine learning algorithms to build a predictive model for loan approval.● Evaluated and optimized the model's performance to ensure accuracy and reliability.This diploma allowed me to develop strong technical skills in Python and practical experience in solving real-world problems using data science techniques.

During my time completing this course, I gained valuable hands-on experience and developed critical skills in several areas of data analysis and business intelligence, including:✅ Microsoft SQL Server Fundamentals & Advanced SQL QueriesLearned how to write, optimize, and manage complex SQL queries for robust database management. Focused on improving performance and ensuring database security, enabling effective data retrieval and storage.✅ SQL BI & Power BIDeveloped expertise in designing interactive dashboards and reports using Power BI and SQL BI. Mastered the creation of actionable insights and reports with tools like SSRS, SSAS and SSIS, enhancing decision-making processes through data visualization.✅ Tableau & Data VisualizationCreated advanced data visualizations and identified meaningful patterns using Tableau. Gained proficiency in turning raw data into insightful, visually engaging reports for stakeholders.✅ Statistics, Data Warehousing, and Excel AnalysisBuilt data systems to enhance workflow and storage efficiency. Focused on performing detailed analysis with Excel and using statistical methods to derive actionable insights from data, improving data-driven decision-making.This course helped me hone my skills in database management, data visualization, and analytics, preparing me for real-world challenges in the data science and business intelligence fields.

During my studies at We School for Applied Technology, I achieved the B-Tech Level 3 international credential through a hands-on IoT project where I developed a motion detector prototype. This device activates sound and turns on an LED light when detecting movement. My experience at We School equipped me with a strong foundation in networking, cybersecurity, and programming, including Python, HTML, and CSS. This education has not only enhanced my technical skills but also deepened my understanding of applied technology and its real-world applications.