JASWANTH PAVULURI
Boston,MA
Summary
Efficient SAP Data Analyst with proven expertise in data modeling, reporting, and analytics to drive strategic decisions. Skilled in SAP ERP, Power BI, and SQL with a solid track record in agile project management, data migration, and system optimizations. Committed to enhancing data accuracy and user support, leveraging strong analytical skills to contribute to organizational success.
Overview
2
2
years of professional experience
Work History
SAP Consultant
Tata Consultancy Services ltd
05.2021 - 08.2023
- Streamlined data management processes by implementing efficient SAP Data Analysis techniques.
- Developed custom data models and reports, providing valuable insights for strategic decision making.
- Optimized data reporting capabilities with the creation of comprehensive dashboards and visualizations for stakeholders.
- Participated in Agile development processes to support continual improvements in overall delivery efforts.
- Enhanced overall data accuracy through meticulous validation of SAP records and identification of discrepancies.
- Managed complex projects involving large-scale data migration efforts between legacy systems and newly implemented SAP environments.
- Provided ongoing support for end-users experiencing SAP-related issues, ensuring prompt resolution and minimal downtime.
Education
Master of Science in Information Systems -
Northeastern University
Boston, MABachelor of Technology in Electronics and communication -
ANITS
Sangivalasa, IndiaSkills
- C
- Master Data Management
- Python
- SAP Erp
- MS Excel
- SAP MM
- Data Visualization and Presentations
- SQL
- Software Development Life Cycle (SDLC)
- Statistical Analysis
- Predictive Modeling
- Machine Learning
- Power BI
Projects
Data Analysis and predictive model project:
Predicting Customer Churn for a Subscription Service: The objective of "Predicting Customer Churn for a Subscription Service" is to develop a predictive model that can accurately identify customers who are at high risk of discontinuing their subscriptions to a service. This type of analysis is crucial for businesses that operate on a subscription model, such as streaming platforms, software as a service (SaaS) providers, and other membership-based services. The goal is to use historical data to understand and predict future customer behavior, specifically the likelihood of churn, which refers to a customer canceling or not renewing their subscription. Leveraged Python libraries including Pandas and NumPy for data cleansing, and utilized Scikit-learn for feature extraction among various other tools throughout the project. Conducted comprehensive Exploratory Data Analysis (EDA) and employed Matplotlib for in-depth data examination. Utilized Power BI to present insights on customers at risk of subscription discontinuation.
Visualization Project:
Real-Time Energy Consumption Analysis and Forecasting for Smart Homes: The objective of this Power BI project is to perform real-time analysis and forecasting of energy consumption in smart homes. This project aims to provide insights into energy usage patterns, identify areas for efficiency improvements, and predict future consumption based on historical data and real-time inputs. The innovation lies in integrating Internet of Things (IoT) data with predictive analytics to empower homeowners and utility companies with actionable energy management strategies.
Timeline
SAP Consultant
Tata Consultancy Services ltd
05.2021 - 08.2023
Master of Science in Information Systems -
Northeastern University
Bachelor of Technology in Electronics and communication -
ANITS