I transform raw data into actionable insights using Python, SQL, and Power BI. Focused on data cleaning, exploratory analysis, and KPI-driven dashboards that drive business decisions.
Data Analyst with practical experience in data processing, analysis, and visualization. I specialize in converting complex datasets into clear, actionable insights that support business decision-making.
My approach combines technical skills in Python and SQL with business understanding to deliver reports and dashboards that stakeholders can actually use. I focus on clean data, clear visualizations, and measurable outcomes.
Currently seeking opportunities to apply analytical skills to real-world business challenges in data-driven organizations.
Tools and technologies I use to analyze and visualize data.
Real data analysis projects with measurable outcomes.
Job seekers lack data-driven insights into application strategies. Without analysis, it's difficult to identify what approaches yield the best response rates.
ETL workflows using Excel and Power BI to clean and structure raw data from 400+ job applications. Created dashboards tracking callback and interview metrics.
Real-time air quality monitoring requires expensive equipment and lacks predictive capabilities for pollution levels.
IoT-based AQI monitoring system using ESP8266 and sensors with cloud data pipelines via ThingSpeak. Applied machine learning models to predict air quality levels.
Computer Science fundamentals with focus on programming, databases, and software development.
Available for data analysis opportunities and projects.