Comprehensive Toolstack
My analytical strengths lie in **Python automation** and **Advanced Excel**. I am currently dedicated to mastering **SQL** and **Power BI** for end-to-end data delivery.
Programming & Data Manipulation
Core strength in utilizing Python for data wrangling, cleaning, and reporting automation.
Python for Analysis & Automation
Proficient in scripting for data cleaning, transformation, and Exploratory Data Analysis (EDA) using key libraries like **Pandas**, **NumPy**, **Seaborn**, and **Matplotlib**. Basic familiarity with **Scikit-learn** for modeling introductions.
Advanced Excel (Core Tool)
Expertise in efficient spreadsheet solutions, complex formula writing (e.g., XLOOKUP), data visualization using advanced charts, and ETL processes driven by **Power Query** (M language).
SQL & Power BI (In Study)
Actively engaged in structured study to master relational database querying (SQL) and building interactive dashboards (Power BI). Focused on data modeling and DAX language application.
Data Visualization & Analytical Concepts
The principles and platforms used to communicate insights effectively.
Reporting & Dashboarding
Skilled at designing clear, user-friendly dashboards and reports (static or interactive) that prioritize **actionability** and target specific business questions.
Foundational Statistics
Basic understanding of statistical concepts including central tendency, variance, regression linearity, and hypothesis testing necessary for sound data interpretation.
Architecture & Practices
Familiarity with data lifecycle concepts, the importance of data governance, version control (Git), and data documentation for project maintainability.