Samyukta Mutyala

An organized and motivated individual, eager to utilize time management and organizational skills across diverse settings. Seeking entry-level opportunities to enhance abilities while contributing to company growth. Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

• Tableau Desktop Specialist, Tableau - 2024

• Done a group project in database management system this focuses mainly on generating insights from retail sales data by Analyzing retail data using SQL to answer business questions on product performance, sales revenue, customer traffic, and trends.SQL queries are written to find top-selling products, department revenue by brand, in-store vs. online sales, and customer count by store, hour, and day. we used PostgreSQL's the "Graph Visualizer" is used to display customer count results that includes monthly sales trends.
• Done Python project in analyzing a dataset about a train crash to determine factors affecting survival and develop predictive models. it involves in Cleaning the Data,Perform initial exploratory data analysis to understand the dataset,Identify and handle outliers that may distort the analysis, particularly in numerical fields like age or fare,Split the cleaned dataset into training and testing sets to evaluate model performance, Build a KNN model to classify survival and find the best value for 'k',Build and evaluate a logistic regression model on the training and testing data, Build a decision tree model,Build a decision tree model.
• Done group project in Data warehousing it is about digital transformation initiative for Mindbody, a wellness IT solutions provider, aiming to enhance business processes and customer experiences. It involves building a company-wide data warehouse to replace Salesforce, streamlining customer data management. Key objectives include identifying booking issues faced by customers and offering actionable recommendations to improve user experience. The project utilizes a four-step dimensional model, with fact and dimension tables for organized data storage and analysis. Visualizations and recommendations help address technical and usability challenges, ensuring smoother customer interactions.
• Done a Power BI report file. It contains interactive dashboards, visualizations, and data analyses the visualizations that summarize key metrics, trends, and insights based on data sources to provide a comprehensive overview