As a Data Analyst, I transform complex data into clear, actionable insights that drive smarter business decisions. My end-to-end process covers everything from data collection and cleaning to in depth analysis and dynamic visualization. By combining technical expertise with strategic mindset, I deliver reliable, data-backed solutions that help Organizations understand performance, identify opportunities, and achieve measurable growth.
End-to-end process of acquiring data from diverse sources (APIs, SQL databases, flat files), followed by rigorous data cleaning, transformation, and feature engineering. This process ensures raw data is transformed into a structured, analysis-ready format, forming a robust foundation for all subsequent data initiatives.
Data transformation applying statistical methods and analytical techniques, building models to identify trends forecast outcomes, and test hypotheses. This phase translates prepared data into actionable intelligence, answering critical business questions and driving informed strategy
Consisting in translating complex analytical results into compelling narratives through intuitive data visualizations and dashboards (using tools like Tableau/Power BI). This final stage ensures insights are accessible, understandable, and actionable for all stakeholders, bridging the gap between data and strategic business action.
The World Happiness Report gauges how happy people are around the world. It does this by looking at two things: what people say about their own lives in surveys, and hard data about their countries' economies and social structures. Combining these perspectives helps explain why happiness levels differ from one nation to another.
This visual analysis explores the most significant relationships among the observed factors, translating complex data into clear insights. By examining these connections, the analysis not only clarifies the dynamics underlying these years' condition but also provides a foundation for mindful living and strategic decision-making.
This dashboard offers a clear, interactive look at the electric vehicle landscape across Washington State. An overview map immediately shows you where EV adoption is strongest, highlighting the geographic trends and hotspots of electric mobility.
The data deconstructs beyond the map to reveal which automakers and particular models are most prevalent in various cities. You can learn more about the current state of battery technology and market diversity by examining other visuals that compare the average driving range by brand.
This dashboard offers a clear basis for comprehending the EV shift by utilizing data that is publicly accessible on Data.gov. It is intended to help researchers, sustainability experts, and urban planners make well-informed decisions.
This dashboard presents a comparative analysis of household net earnings, allowances, and social security contributions across European nations and household profiles, using data sourced from Eurostat.
The first section examines national distributions, highlighting disparities in income structures and the relative weight of social contributions and family allowances.
Countries such as Switzerland, Luxembourg, and Norway consistently lead in average earnings, while Eastern European nations show lower but steadily rising income levels.
The visual trends suggest that while overall earnings have grown steadily, the pace and distribution of that growth vary widely between nations. Peaks in tax change rates around 2010 and 2019 point to key moments of policy or economic adjustment, yet most household types follow similar trajectories, showing a shared response to broader fiscal environments.
This interactive dashboard was built in Python using the Panel library. It connects directly to the World Bank Data APIs, retrieving information in real time. The interface includes three charts and a choropleth map that together highlight key economic and environmental indicators.
The charts track how these indicators evolve over time, while the map gives a broad global snapshot. A sidebar menu lets users choose the nation, indicator, and year they want to explore. At the bottom of the sidebar, there’s a brief glossary explaining the main terms used across the dashboard.
To view and interact with the dashboard, please click the button below.
Ideal for ongoing or full-time data support
Perfect for defined or goal-driven projects
For quick assistance or small analytical tasks