When asked about my purpose in life, I have one answer: Learn! Constantly gain knowledge. While learning stems from personal experiences, it also consists of skills we develop as students. Whether it is college, the workplace, or even our homes, knowledge is meant to be gained from every environment. Striving to learn and grow is the biggest skill one can have. The best part about gaining knowledge is sharing what we learned with the world! As Martin Uzochukwu Ugwu has said, "Knowledge is power. Sharing knowledge is the key to unlocking that power." In this Technological Landscape, knowledge has become much more accessible, and the social responsibility of spreading knowledge has become much more significant. Why Computer Science? Computer Science is the window to the world of Technology. It provides the ground to empower us humans to gain knowledge. Be it community-driven platforms, online textbooks, or visualization tools, Computer Science has created a space for humans with various backgrounds and abilities to learn and shine! What is Computer Science without Data? Knowledge is Data. Data is Knowledge. Data Analysis is crucial to gain insights and understand the story. Computer Science and Data Analytics drive my purpose of learning and sharing knowledge. As an Academic Excellence Scholar, I come prepared with skills that I am eager to bring to the table, aligning with my objective of utilizing Data Analytics, Software Engineering, Data Visualization, and Machine Learning. Programming Languages: Python, C, C++, Java, JavaScript, R, SQL, MySQL, NoSQL, PostgreSQL, LookML, Verilog Tools: Tableau, Power BI, Cognos Analytics, Google Analytics, Oracle Analytics, JIRA, Asana, StreamLit, Trello, GitHub, Figma, Canva, BigQuery, SQL Server Management Studio, Git, Snowflake Database, Databricks, Mendix, Power Automate, Cloud Dataproc, Cloud Data Fusion, Cloud Dataflow, Looker, ServiceNow, Vertex AI, Oracle Exadata, Qlik Sense, Clerk Authentication Operating Systems: Windows, Linux/UNIX Libraries and Frameworks: Django, TensorFlow, NumPy, Plotly, Matplotlib, Seaborn, Pandas, Hadoop, Spark, LightGBM, React, Tailwind CSS, bcrypt Methodologies: Agile, Scrum, Waterfall, Lean Six Sigma, Kanban, LSTM, BERT, OSEMN, ETL, ELT, API Integration Certifications: Google Data Analytics Professional, Google Project Management, IBM Data Analyst Professional, Tableau Business Intelligence Analyst Professional, IBM Data Analytics with Excel and R, Google Cloud Analytics Professional, Meta Data Analyst Professional, Microsoft Business Analyst Professional