Sorin Catighera
Results-driven Business and Data Analyst with a strong track record in the finance sector, known for leveraging technology and data to solve complex business problems and drive growth. Adept at uncovering actionable insights from large datasets and transforming them into strategic solutions that enhance decision-making.
Experienced in translating business needs into technical requirements, effectively bridging the gap between stakeholders and development teams.
Skilled in SQL, Tableau, Power BI, Excel, and Python to perform in-depth analysis, develop impactful visualizations, and streamline operations.
Thrive in fast-paced environments, bringing a collaborative, problem-solving mindset and a passion for data-driven innovation that enhances customer experiences and delivers measurable outcomes.
Business and Data Analyst
Project Showcase
Explore my diverse projects that highlight my analytical skills.
Data Insights
Analyzed customer behavior and product trends for an online grocery store using Python and SQL.
Identified peak sales periods, top-performing product categories, and variations in customer ordering patterns, leading to marketing strategy recommendations for improved targeting and retention.
Conducted data-driven analysis using Tableau and Excel to inform medical staffing strategies ahead of flu season across the U.S.
Assessed seasonal patterns by state, identified variation in outbreak timing, and prioritized states by vulnerable population levels (low, medium, high need).
Evaluated data limitations to guide future data collection and improve forecasting accuracy. Insights helped inform the timing and spatial allocation of healthcare personnel during flu season.
Influenza
Used PostgreSQL, DbVisualizer, and Tableau to analyze customer and rental data in support of launching a new online video platform.
Identified top and bottom-performing films by revenue, and evaluated geographic trends in customer value and sales performance.
Delivered data-driven insights to guide regional expansion, content strategy, and targeted marketing efforts.
Rockbuster
Happiness Around the World
This self-directed project analyzed global happiness trends from 2015–2019 using Python and Tableau, leveraging Gallup World Poll data to identify regional disparities and drivers of life satisfaction, such as economic and social factors. The Python analysis showed Nordic countries as top happiness performers, with GDP and social support as key influencers, revealing notable regional differences over time.
Tableau dashboards, including maps and charts, visualized these trends for policymakers, clarifying complex patterns and improving insight delivery. This project demonstrated my ability to transform data into clear visualizations, enhancing understanding of global happiness for diverse audiences.