Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.
Hospitality Management
Objective: Create an interactive Dashboard to analyze global hotels data, including ratings, revenue, capacity. AtliQ Group of Hotels, a prominent player in the hospitality industry, initiated a data analysis project focused on enhancing their hotel management strategies. Leveraging data analytics techniques, the project aimed to optimize various aspects of hotel operations including revenue management, and resource allocation. The analysis involved examining customer feedback, booking patterns, occupancy rates, and other relevant metrics to identify trends and patterns. By implementing data-driven insights, the AtliQ Group aimed to streamline operations, improve service quality, and ultimately enhance the overall guest experience.
Healthcare Management
In the realm of healthcare management, particularly in the context of dialysis services, this project aimed to improve patient outcomes and operational efficiency Leveraging data analytics, the project team conducted an in-depth analysis of patient demographics, treatment protocols, clinical outcomes, resource utilization, and cost management within dialysis centers By analyzing these key metrics, the project sought to identify opportunities for enhancing service delivery, optimizing resource allocation, and reducing healthcare costs The ultimate goal was to improve the quality of care provided to dialysis patients while ensuring the sustainability and effectiveness of healthcare operations.
Analyzed historical stock market data to identify trends and patterns.
Performed data cleaning, visualization, and statistical analysis.
Applied time series forecasting and predictive modeling to assess stock performance.
Used SQL to query financial data and create insights from large datasets.
Presented findings through interactive dashboards in Excel,Tableau,Power BI.