Reading

Aspiring Data Analyst with hands-on experience from self-led and academic projects involving data cleaning, analysis, and visualization. Proficient in Excel, SQL, and Power BI with a growing knowledge of Python for data manipulation. Strong analytical thinker with a background in backend operations and technical support. Passionate about turning raw data into actionable insights to support business decisions.
The Application Support Analyst is responsible for providing technical support and troubleshooting for As an Application Support Analyst supporting NCLH, I am responsible for managing backend operations of Micros systems, resolving tickets of passenger, and handling file import/export processes. My role ensures smooth technical operations across multiple applications by collaborating with cross-functional teams and maintaining data integrity.. The role involves diagnosing issues, resolving application problems, collaborating with internal teams, and ensuring application performance, stability, and usability.
Excel: Pivot Tables, VLOOKUP/XLOOKUP, Power Query, Data Cleaning, Charts & Dashboards
SQL: Joins, Subqueries, Aggregations, Window Functions
Python: pandas, NumPy, Matplotlib, seaborn (for data manipulation & visualization)
Data Cleaning & Preparation: Handling nulls, duplicates, outliers
Power BI / Tableau: Dashboards, DAX (for Power BI), Filters, Drill-throughs
ETL Tools: Power Query, Alteryx (optional)
Google Sheets: Data functions, Charts
Data Interpretation
Root Cause Analysis
Storytelling with Data
Problem Solving
Critical Thinking
Time Management
Python Libraries
APIs and Web Scraping (using Python)
Presentation Skills
Collaboration & Teamwork
Reading
Traveling
Meditation
Watching Movies or Documentaries
I enjoy reading books on personal development and data analytics. Titles like Atomic Habits have helped me build better routines, while blogs like Analytics Vidhya keep me updated on trends in data. Reading sharpens my thinking and supports my growth as a future data analyst