Data Analyst focused on Business Intelligence & Data Automation
Data Analyst with hands-on experience transforming HR data into actionable insights and automated reporting solutions. I specialize in using Python (Pandas, NumPy) and SQL to clean, process, and analyze data, as well as building dashboards in Power BI and Looker Studio to support decision-making.
I have developed data pipelines to automate reporting processes, improving efficiency and data reliability. My focus is on solving business problems through data, particularly in areas like workforce analytics, performance tracking, and operational efficiency.
⭐ Data Science Salary Analysis (2020-2022)
A comprehensive end-to-end data project analyzing global salary trends in the Data Science industry. This project explores the impact of experience levels, job roles, and geographic locations on compensation.
⭐ LMS Reporting Pipeline
Automated ETL pipeline that processes multiple Excel reports, cleans and transforms data using Python (Pandas), and consolidates it for analysis.
⭐ Notion Data Pipeline
Data pipeline that extracts data from the Notion API, transforms it, and generates structured datasets for reporting and analysis.
power-bi-2021 looker-studio pandas numpy matplotlib
Programming Languages sqlserver
Tools & Technologies jupyter-notebook
I am driven by the ability to turn raw data into meaningful insights that support better business decisions. I enjoy identifying inefficiencies, automating processes, and building data solutions that create real impact.
I am especially interested in leveraging data to improve organizational performance, optimize workflows, and support strategic decision-making.
I am currently focused on Data Analyst and Business Intelligence roles where I can apply my experience in data analysis, automation, and visualization.
I bring a strong combination of technical skills and business understanding, especially in HR data, and I am ready to contribute by building efficient, data-driven solutions.