Dheer Madhav Balusu

Experienced professional with a strong background in technology-related roles. Proficient in software development, system administration, and technical support. Skilled in problem-solving and optimizing performance. Capable of managing projects and collaborating effectively with teams. Committed to continuous learning and staying current with industry trends to contribute to organizational success.

• Certified Data Analyst SAP Analytics Cloud, SAP E-Learning Platform June 2025
• SAP BTP Introduction, SAP E-Learning Platform June 2024
• Data Analysis by Google June2025(ongoing)

Project Starlink | Spring Boot, RestTemplate, Developed a Spring Boot application that integrates with the NASA Astronomy Picture of the Day (APOD) API to retrieve daily astronomical images and related metadata for users., Implemented a RESTful API endpoint (apod), enabling users to retrieve the picture of the day, with optional query parameters for customizing the response (e.g., date, HD image)., Implemented JSON parsing, error handling, and caching to optimize APOD API integration, ensuring fast load times and reliable image delivery., 

Dog Face Expression detection | MATLAB, Python, Led the end-to-end development of a face detection project utilizing streamlined MATLAB code and python for calling the dataset and train the model using CNN (Computer Neural Network)., Leveraged pretrained Google Net for image detection and conversion, enabling diverse functionalities like messaging, broadcasting, and feature access., Facilitated group interactions on the project and took feedback from the fellow mates, resulting in a 25% increase in user acceptance and improved communication efficiency.

Production Quality & ERP Integration Project | Lokesh Machines Limited Jan 2022 – May 2022, Optimized engine block manufacturing using SAP MM; collaborated with ERP team to enhance material flow and procurement accuracy., Conducted root cause analysis via Fishbone Diagram and QC tools, reducing defect rates by 25%., Built dashboards in Excel/Power BI for real-time defect tracking and production KPIs., Collected client feedback during QC process and incorporated insights into process improvements., Authored comprehensive documentation covering SOPs, workflows, and quality metrics., Delivered 30% increase in efficiency through ERP-supported workflow alignment and quality checkpoints.

Large Scale Book Review Analysis |Hadoop, MapReduce | Analyzed large-scale Amazon book review data using Hadoop MapReduce on Cloudera Quickstart VM. Implemented Java-based distributed programs to summarize review counts and extract distinct book names. Gained hands-on experience in big data processing and pattern extraction using summarization and filtering techniques.

Energy Consumption Analysis and Forecasting | Tableau, ARIMA, LSTM | Built forecasting models using ARIMA, LSTM and Prophet achieving 90% accuracy on 125000+ data. Created Tableau dashboards to track consumption patterns and cost optimization insights. Developed Realtime data pipeline, reducing processing

latency by 35%.