I am Dheeraj Kumar Muddasani, a seasoned Data Analyst with over 5 years of experience, I bring a strong background in Python, SQL, Spark, Tableau, and Power BI, allowing me to transform complex datasets into clear, actionable insights. My expertise spans data collection, cleansing, and transformation, ensuring that organizations have access to accurate and reliable data to drive their strategies. I’ve optimized SQL queries to reduce data retrieval times by up to 50% and developed predictive models that have improved forecasting accuracy by 20%, demonstrating my commitment to data efficiency and meaningful insights. My projects have consistently delivered measurable improvements, such as reducing procurement lead times by 15% and enhancing cross-functional data accessibility through AWS S3 integration, benefiting both the data team and key decision-makers.In my role, I have led efforts to build and refine data infrastructure, utilizing Snowflake for multi-layer data storage, enabling efficient data retrieval and analysis. I’ve developed machine learning models to predict transformer maintenance needs, optimizing asset management and reducing downtime in fast-paced operational environments. Leveraging cloud-based solutions like AWS and Azure, I have implemented intricate ETL processes and managed CI/CD pipelines with tools like Git and Jenkins, streamlining deployments and reducing lead times by 30%.Beyond technical skills, I’m passionate about making data accessible and actionable for stakeholders. I design interactive dashboards and self-service tools using Tableau and Power BI, enabling real-time insights and significantly reducing ad-hoc reporting demands. By integrating advanced forecasting and drill-down capabilities, I provide teams with a deeper understanding of trends, contributing to better, data-driven decision-making. My cross-functional collaborations and stakeholder engagements ensure that data solutions are tailored to the organization’s needs, while also allowing me to gather feedback that further improves tool accuracy and user experience. I am dedicated to leveraging data analytics to create business value and am continuously motivated to explore new technologies and techniques in this field.Technical Skills:Programming Languages: Python, SQL, PySpark, PyTorch, R, JavaScript, Java, Spark, C, C++Data Visualization Tools: Tableau, D3 Charts, Microsoft Power BI, Qlik View, MatplotlibCloud Technologies: AWS (S3, Glue, Redshift), Azure (Data Lake, Data Factory), GCP, Amazon Web Services, Google Cloud Platform
