Data Analyst| SAP| Tableau| Power BI| Python| SQL
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A results-oriented Data Analyst with a STEM Master's in Business Administration and a strong background in SAP BW, Tableau, Power BI, Excel, Python, and SQL. With hands-on experience in financial data analysis and a track record of optimizing processes, I excel in delivering actionable insights.
During my MAB studies, I completed several descriptive analysis projects, including deep analysis of Disney data & Universal data comparison of stocks, and optimization of theme park brands for reopening. I also worked on the aviation industry, measuring success using industry data to create a balanced scorecard with strategic objectives and KPIs. Additionally, I conducted research on pharmaceutical companies like Sanofi and applied strategies to become a leader using the 7Ps and PESTEL frameworks.
In the automation industry, I applied incremental and discontinuous innovation.
These projects honed my communication and understanding skills through presentations and research papers. My advanced analytical skills, combined with a commitment to continuous learning, make me a valuable asset in any data-driven role.
I am passionate about leveraging data to drive business growth and create immersive experiences. I am skilled in data mining, cleaning, visualization, interpretation, and decision-making. Additionally, I have expertise in various analytical techniques such as regression analysis, hypothesis testing, time series forecasting, and simulation.
Throughout my career, I have worked with leading organizations such as Capgemini and SAP Labs, where I successfully developed front-end reports in SAP BW, created flexible queries with variables, and utilized tools like Tableau and Power BI to present financial insights. I am also proficient in programming languages like Python and SQL.
I am eager to contribute my skills and expertise to drive data-driven decision-making and optimize business processes. Let's connect and explore how we can collaborate to achieve meaningful results.