Healthcare Sector:Contributed to data analysis and model development projects aimed at improving patient care and operational efficiency.Utilized statistical methods to evaluate healthcare trends, patient outcomes, and treatment efficacy.Assisted in the creation of dashboards and reports to support decision-making in healthcare management.Sports Industry:Engaged in projects analyzing performance metrics, player statistics, and game outcomes to provide insights for team strategy.Applied predictive modeling techniques to forecast player performance and game results.Developed visualizations and reports to communicate findings to sports analysts and management teams.Banking Sector:Worked on financial data analysis projects to enhance risk management and fraud detection.Implemented models to predict financial trends, customer behavior, and loan default probabilities.Created detailed reports and dashboards to support banking operations and strategic planning.Skills:Industry-Specific Analytics: Applied analytical techniques tailored to healthcare, sports, and banking sectors.Predictive Modeling: Developed models to forecast trends and outcomes across various industries.Data Visualization: Created charts, graphs, and dashboards to present complex data insights effectively.Statistical Analysis: Utilized statistical methods to analyze data, identify patterns, and derive actionable insights.Cross-Industry Experience: Gained diverse experience by working on projects in multiple sectors, enhancing adaptability and problem-solving skills.Report Generation: Produced detailed reports and presentations to communicate findings to stakeholders.Strategic Insights: Provided actionable insights to support strategic decisions and operational improvements.

- Developed an Excel-based price prediction model for the company website, accurately forecasting used car prices.Enhanced decision-making processes by providing actionable insights through predictive analytics.- Collaborated with management to integrate the model into business analysis and development strategies.- Utilized statistical and data analysis techniques to ensure model accuracy and reliability.- Presented findings and recommendations to stakeholders to support strategic planning.- Gained hands-on experience with data manipulation, forecasting, and business intelligence tools.- Conducted intensive interviews and surveyed decision makers in the market to get a better understanding of the automobile industry and the socio-economic parameters involved in the purchase of an old vehicle.- Formulated an intelligent excel model using macros applying the project learnings.