Alteryx Hackathon – The Walt Disney Company
Automated preparation process of tax return data for Disney using Alteryx, resulting in a 15% reduction in manual effort and ensuring scalability and enhanced transparency in corporate taxes for multi-country operations. Presented comprehensive analysis on the changes in the top 5 revenue generating entities, and their corresponding financial impact compared to previous years.
Conagra Hackathon
Led analysis of FMCG market trends, providing growth recommendations for Conagra Brands. Identified opportunities in this segment and revealed a previously untapped market of $67 million, optimized the product portfolio, and recommended effective merchandising strategies. The analysis prompted the introduction of an additional product for substantial weekly sales enhancement.
Predicting the Churn Rate for a Telecom Company
This project involved predicting the churn rate for a telecom company using Alteryx and SAS. The goal was to anticipate the number of customers who would discontinue their services. By analyzing historical data and utilizing predictive modeling techniques, this project aimed to help the company make informed decisions and implement strategies to retain its customer base.
Assessing Competitive Edge of Pioneering in the Industrial Goods Sector
In this project, we assessed the competitive edge of pioneering companies in the industrial goods sector. We conducted a comprehensive analysis to evaluate their market positioning, innovative strategies, and overall performance. The goal was to provide insights into how these companies maintain a leading position in a highly competitive industry, offering valuable guidance for future business decisions and growth strategies.
Predicting Customer Default Probability for a Credit Card Company
This project focused on predicting the probability of customer default for a credit card company. By analyzing historical data and employing predictive modeling techniques, the objective was to assess the likelihood of customers failing to meet their credit card payment obligations. The insights gained from this analysis would aid the credit card company in managing risk and making informed decisions related to lending practices and risk mitigation.
Google – Applied Management
Played the role of a project manager in a real-world scenario and completed dozens of hands-on activities such as
– analyzed project documents to identify project requirements and evaluate stakeholders
– completed a project charter and used it as a tool to align project scope and goals among stakeholders
– identified tasks and milestones and documented and prioritized them in a project plan
– defined quality management standards and explored how to effectively share qualitative data
– demonstrated project’s impact through effective reporting
Database Integration for a Commodity Trading Business
Our project aimed to create a database solution using Microsoft Azure Data Studio for importing trade data and generating analytical reports to support decision-making. We covered database design, integration, and SQL querying. Our strong database management and SQL skills allowed us to efficiently handle extensive trade data, yielding valuable business insights.
Analyzing Powerlifting Dataset : The lift that favors winning using R
Using data analysis techniques, we assessed the impact of different lifts on powerlifting competition outcomes. We found that the Squat exercise had the most significant influence on winning. Our project included predictive models and highlighted our expertise in data analytics, statistics, and R programming.
Executed a comprehensive analysis of customer purchasing behavior. Applied Poisson, Negative Binomial, and Zero-Inflated NBD regressions incorporating demographic variables and provided actionable insights to increase purchases.
Mallikarjuna Swamy 