- Independently gathered and analyzed over 1,000 customer reviews to understand consumer perceptions and product sentiment.- Utilized Large Language Models (LLMs) like Gemini to interpret customer feedback, identify patterns, and assess sentiment in real-time.- Employed Python programming for exploratory data analysis (EDA), transforming raw data into insightful visualizations and summaries.- Provided recommendations based on key findings to help refine product strategies and enhance customer satisfaction.

- Conducted a Cost of Living Analysis using Power BI and a Hotel Reservation Analysis using SQL, delivering impactful insights on each.- Created interactive Power BI dashboards for the cost of living project, visualizing data trends to support strategic decision-making.- Leveraged SQL to analyze hotel reservation data, identifying booking patterns and trends that provided actionable insights. - Effectively presented project findings and recommendations, showcasing data storytelling and influencing skills.

- Gained hands-on experience working with large datasets to uncover trends and insights that drive business decisions.- Created impactful visualizations and dashboards, transforming complex data into clear, actionable insights.- Developed proficiency in industry-standard tools, including Power BI, SQL, Python, and Excel, to support comprehensive data analysis.- Applied a structured approach to interpret data meaningfully and deliver data-driven recommendations.