Naga Sindhura Gurijala

Detail-oriented Business Analyst with 2 years of experience conducting analysis and research to come up with solutions to common business problems. Polished in formulating business improvement strategies and overseeing new technology and system implementation. Commercially-aware professional with in-depth knowledge of computing systems and project management techniques.

• R for Data Science: Analysis and Visualization
• R Essential Training Part 2 : Modelling Data
• Data Science Foundation : Data Mining in R

• Objective: Forecast usage of The Port Authority Bus Terminal, aiming to predict when weekday departures will surpass 125,000 passenger departures and 3,900 bus departures.
• Methodology: Collected historical data on weekday departures, conducted exploratory data analysis to identify usage patterns and factors contributing to spikes, utilized time series forecasting techniques, and projected trends up to 2030 considering the ongoing renovation.
• Results: Forecasted specific months and years when departures will exceed thresholds, identified key factors influencing spikes, and projected overall trends in terminal usage.
• Analysis: Interpreted forecasted data to anticipate impacts of renovation progress and external factors on usage patterns.
• Conclusion: Provides valuable insights for stakeholders to anticipate future demands, allocate resources effectively, and plan infrastructure development and service enhancements accordingly.

• Analyzed Resource planning Data Using Power BI,to acquire the ability to decide on logistics properly on the firm’s operational costs.