Siddhartha Varma Nampally

Highly motivated and data-driven Business Analytics graduate student with a strong foundation in quantitative analysis, statistics, and programming. Skilled in extracting insights from data, building predictive models, and communicating findings to stakeholders. Seeking a challenging entry-level position to leverage My analytical skills and contribute to data-driven decision-making. Detail-focused Data Analyst with knowledge in data warehousing, process validation, and business needs analysis. Proven to understand customer requirements and translate them into actionable project plans. Dedicated and hard-working with a passion for Big Data. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• Intro To Business Decision Process (DSCI 5180): Emphasis on model assumptions, applying the correct statistical model and interpreting the results.
• Data Mining and Machine Learning for Business (DSCI 5240): This course deals with the problem of extracting information from large databases and designing databased decision support systems.
• Foundations of Database Management Systems (BCIS 5420): Database management systems technology within the framework of a business environment. Topics include the study of analysis, design, development, and implementation of database-oriented file organizations in business applications.
• Predictive Analytics and Business Forecasting (DSCI 5340): Predictive modeling and statistical forecasting models are of major interest to the business and government. These topics can be used in combination with data capture, integration, and information deployment capabilities, to ensure more productive decisions and more accurate planning.
• Data Visualization for Analytics (DSCI 5360): Data visualization for analytics goes beyond traditional static graphs and charts by seamlessly connecting data analysis, data-based optimization, and data presentation to create visualizations.
• Information Systems Development (BCIS 5120): Concentration on contemporary design methodologies and computer-aided software engineering techniques. Topics include strategic information systems planning, requirements analysis, user interface design, data design, process design, system testing, ethics and system audit ability, control, and security.

TITLE: Report on Cyber Extortion 

OBJECTIVE: In the project, we were interested in the impact that cyber extortion had on organizations  and the strategies that companies could implement to ensure that this threat was mitigated. Cyber  extortion had gained much popularity as hackers discovered the value in terms of money that it offered  to them. Healthcare organizations, government agencies, and other large corporations that dealt with  sensitive data had been the main victims of cyber extortion. Hackers were very strategic as they  understood that the cost of a data breach in an organization was too much for them to bear, and as a  result, they used that as an advantage to request a ransom or, rather, execute a data breach.

TITLE: Data Visualization Project on Amazon Prime Dataset 

OBJECTIVE AND FINDINGS: The world map indicated that, with 253 TV series accessible on Amazon  Prime Video, the United States led the pack, followed by India with 229 and the United Kingdom with  28. This implied that Amazon Prime has made significant investments in the creation and acquisition  of content in these nations. The graph indicated that 2,117 programs had the most popular TV rating  of 13 or higher. 16 and older came next, with 1,547 shows. Third in popularity were all ages, with  1,268 performances. NC-17 and not rated had the lowest TV viewership numbers, with three series  apiece. The quantity of shows that were released between 1920 and 2021 was shown based on the year  and kind of release. The two different kinds of shows were movies and TV shows