UDAY SURAJ KOMARISETTY
St Louis,MO
Summary
Detail-oriented Business Analyst with a strong foundation in data analytics and a proven ability to leverage Python, SQL, and Tableau for advanced data analysis and visualization. Skilled in transforming complex data into actionable insights that inform strategic business decisions. Experienced in leading projects and collaborating across teams to improve operational efficiencies and drive business success in dynamic environments.
Overview
1
1
year of professional experience
Work History
BW/4HANA Specialist
Webster University
01.2024 - 03.2024
- Project Name: Data Modeling and Analytics Optimization at Global Bike
- Technologies Used: SAP BW/4HANA 2.0, ETL Processes
- Successfully optimized data analytics framework for Global Bike, enabling quicker and more effective sales/cost analytics presentations to CFO
- Laid groundwork for future enhancements in data handling and analytics capabilities, contributing to better strategic decisions based on accurate, timely data insights
- Engaged in advanced data modeling within BW/4HANA 2.0, focusing on InfoObjects to represent key business entities and their attributes
- Executed loading of master data into InfoObjects, involving detailed process of integrating attributes and texts, while considering multilingual requirements
- Designed comprehensive data flow diagram to visualize relationships and processes involved in data loading, preparing foundation for efficient transactional data integration
- To create and implement data model in BW/4HANA 2.0 for Global Bike's German and US branches, facilitating rapid sales/cost analytics reporting to CFO
Dashboard Developer
Webster Univeristy
01.2024 - 03.2024
- Project Name: Extension of Academic Project: Dashboard Development with SAP Design Studio
- Technologies Used: SAP Design Studio, BW/4HANA 2.0
- Delivered suite of dashboards that provided clear insights into sales and cost metrics, significantly improving analytical reporting capabilities to senior management
- Utilized SAP Design Studio to create comprehensive dashboards, focusing on usability and interactive elements to present complex analytics in accessible manner
- Integrated dashboards with BW/4HANA data models to ensure real-time data representation and accuracy
- Develop intuitive and interactive dashboards using SAP Design Studio to visualize sales/cost analytics for Global Bike, enhancing decision-making processes
Data Analyst
Webster University
01.2024 - 03.2024
- Project Name: Cost-of-Living Analysis Dashboard in Tableau
- Technologies Used: Tableau, Python, R
- Produced comprehensive tool that aids in financial planning and relocation decisions, enhancing user understanding of cost-of-living variations and facilitating informed choices
- Utilized Tableau to develop engaging and informative dashboard that visualizes cost of living by state, incorporating metrics like housing, utilities, and transportation
- Enabled dynamic user interaction, allowing users to input their income to see personalized recommendations and insights
- Created interactive Tableau dashboard for cost-of-living analysis across US states, offering personalized living recommendations based on user income
Data Analyst
Webster University
08.2023 - 12.2023
- Project Name: Used Smartphone Price Prediction & Classification
- Technologies Used: Regression Analysis, Classification Models, R
- Successfully implemented models that enhanced accuracy of price predictions for used smartphones, facilitating better decision-making for both sellers and buyers
- Conducted exploratory data analysis on dataset featuring various smartphone attributes to understand influence of features like screen size, camera quality, memory, and others on used phone pricing
- Identified key variables impacting price and performed data preparation tasks, including outlier detection and multi-collinearity handling, to refine dataset for modeling
- Developed and compared multiple predictive models, including regression and classification techniques, to accurately predict used smartphone prices and classify them into price ranges
- To predict prices of used smartphones and classify them into categories (e.g., high or low) based on comprehensive analysis of phone features, utilizing regression and classification models for informed decision-making by providers and customers
Data Analyst
Webster University
01.2023 - 03.2023
- Project Name: Customer Engagement Optimization through Machine Learning
- Technologies Used: Logistic Regression, Regression Tree Models, R Studio
- Successfully identified predictive model that improved targeting strategy of North-Point, resulting in potential increase in customer engagement and optimized mailing costs
- Model achieved notable accuracy in predicting customer behavior, leading to strategic insights for enhancing marketing efforts
- Participated in mailing experiment to optimize customer list for North-Point by analyzing dataset of 2,000 observations, aiming to predict customer purchasing behavior and spending
- Developed models to classify customers as purchasers or non-purchasers and predict spending amounts among purchasers using logistic regression and regression tree methods
- Adjusted for oversampling in dataset to accurately estimate potential spending, contributing to more efficient and targeted marketing efforts
- Enhance customer targeting and engagement strategies for North-Point Software Listing Company by predicting purchasing behavior and spending using machine learning models
Education
Master of Science in Data Analytics - Analytics
Webster University
Saint Louis, MI05.2024
Bachelor of Engineering in Computer Sciences -
Joginapally B.R Engineering College
Telangana05.2020
Skills
Python
R
SQL
SAP BW/4HANA
Eclipse with SAP BW Modeling Tools
Snowflake
Power BI
Tableau Expertise
Data Mining
Predictive modeling
Business Analysis
Problem-Solving
Microsoft Office Suite
Project Management
Pivot tables
Cost-benefit analysis
Timeline
BW/4HANA Specialist
Webster University
01.2024 - 03.2024
Dashboard Developer
Webster Univeristy
01.2024 - 03.2024
Data Analyst
Webster University
01.2024 - 03.2024
Data Analyst
Webster University
08.2023 - 12.2023
Data Analyst
Webster University
01.2023 - 03.2023
Master of Science in Data Analytics - Analytics
Webster University
Bachelor of Engineering in Computer Sciences -
Joginapally B.R Engineering College
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