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sai siva prabhu teja - Data Analytics

[email protected]

Location: Miami, Florida, USA

Relocation: YES

Visa: OPT

Teja Kondapalli Contact :(469)-639-0747 [email protected] CAMiami, Florida Teja kondapalli SUMMARY With 3 years of experience in IT, specializing in data analytics, I have developed a robust skill set in utilizing various tools to extract, analyze, and visualize data effectively. My expertise lies in transforming complex data into actionable insights, driving strategic decision-making, and optimizing business processes. Adept at working in fast-paced environments, I am committed to delivering high-quality results and continuously enhancing my technical abilities. Expertise in SQL for database management and manipulation, ensuring data accuracy and integrity. Skilled in Python for data analysis and scripting, enhancing data processing capabilities. Experience in managing data on cloud platforms, including AWS (RDS, S3, EC2), Azure (Synapse Analytics, Stream Analytics, Data Factory), and Google Cloud Platform (BigQuery, Dataflow, Data Fusion). Proficient in designing and implementing ETL processes to extract data from various sources, transform it according to business requirements, and load it into target databases or data warehouses. Familiarity with error handling and logging mechanisms in ETL processes, ensuring data reliability and traceability. Strong background in data modeling and building data pipelines for efficient data transformation and integration. Proficient in building visually appealing and interactive visualizations in Tableau, facilitating data-driven decision- making. Skilled in creating interactive reports and dashboards in Power BI, enabling stakeholders to gain valuable insights from data. Experienced in data modeling and DAX (Data Analysis Expressions) for complex calculations and data manipulation in Power BI, enhancing data visualization capabilities. Skilled in using Alteryx for data blending, preparation, and analytics, streamlining the data preparation process. Experienced in workflow automation in Alteryx, increasing efficiency and reducing manual effort in data processing tasks. Familiarity with version control systems like Git, ensuring efficient collaboration and code management. Knowledgeable in machine learning, applying algorithms and models to extract valuable insights from data. Drove ASP.NET development integrated with cloud solutions, significantly boosting scalability and performance. Led .NET projects that resulted in notable improvements in system efficiency and user satisfaction. Managed AWS services including EC2, S3, and RDS to provide a secure, scalable environment for application hosting, data storage, and database management, leveraging NET for seamless integration and automation. Leveraged Python and SQL for in-depth performance analysis, markedly improving user experiences. Integrated these insights into .NET applications to refine functionality and responsiveness. Advocated for Agile practices to enhance team agility and product evolution through continuous feedback loops, applying these methodologies in the .NET development lifecycle to accelerate delivery and improve quality SKILLS AWS (RDS, S3, EC2) | Azure (Azure Synapse Analytics, Power BI | Tableau | Alteryx Git | Machine Learning | Azure Stream Analytics, Azure Data Factory) | GCP ASP.NET | Data Modeling | Data Pipelines | MS SQL | (BigQuery, Dataflow, Data Fusion) | Python | R Alteryx | Data Visualization | Excel | Data Bricks PROFESSIONAL EXPERIENCE 2023/02 2023/02 Virtual Intern Remote PWC Conducted a comprehensive Power BI Data Analytics project to derive strategic insights into customer retention and diversity, directly contributing to business strategy and decision-making processes. Optimized data pipelines for enhanced efficiency and cross-functional collaboration, demonstrating my ability to understand and implement complex system requirements and design specifications. 2019/06 2022/08 India Project Engineer WIPRO Technologies Trainings & Implementation Leveraged Azure Data Factory to extract data from on-premises and cloud sources such as Azure Blob Storage, Azure SQL Database, and Salesforce. Utilized Azure Data Factory's data flows to transform the extracted data using SQL transformations, data wrangling activities, and machine learning models. Loaded the transformed data into Azure Synapse Analytics for analysis and reporting, enabling data-driven decision-making. Utilized Google Cloud Dataflow to design and implement data pipelines for real-time and batch processing, handling large volumes of data. Integrated data from Google Cloud Storage, BigQuery, and external sources, transforming and enriching data using Apache Beam SDK. Used Azure Synapse Analytics to create and manage data models, combining data from various sources for unified analytics. Implemented data warehousing concepts in Azure Synapse Analytics, designing star schemas and snowflake schemas for efficient querying. Integrated Azure Stream Analytics with Azure Synapse Analytics to perform real-time analytics on streaming data, enabling timely decision-making. Project Work: Created data models in Power BI using Power Query Editor and DAX (Data Analysis Expressions) to structure and optimize data for analysis. Developed relationships between different data tables in Power BI to enable complex analysis and visualization. In Tableau, utilized the data modeling features to create logical data models, blending data from multiple sources for comprehensive analysis. Implemented calculated fields and parameters in Tableau to further enhance data modeling capabilities, providing dynamic insights. MS SQL: Created views in MS SQL to abstract complex queries, providing a simplified interface for data access and analysis. Spearheaded ASP.NET projects, achieving a 30% efficiency boost via AWS and adopting .NET Core for microservices and containerization. Architected a .NET MVC application for image management, improving user engagement and operational efficiency. Integrated Entity Framework for enhanced data access and Azure Blob Storage for optimized data handling in .NET applications. Led development and optimization of over 4 .NET applications, focusing on modular design and maintainable code. Engineered custom ASP.NET solutions on AWS, improving operational efficiency by 30% and ensuring scalable infrastructure. ACADEMIC PROJECTS 2022/08 2024/05 Academic Projects Flordia International University Stroke Prediction Using R : "Led a team in developing a sophisticated R-based predictive model for stroke risk assessment. Applied machine learning techniques, including logistic regression and causal inference, to analyze complex medical data. Employed feature engineering to enhance model performance and interpretability. Achieved state-of-the-art predictive accuracy, providing actionable insights for healthcare stakeholders. Implemented cross-validation and hyperparameter tuning for robust model validation and optimization." Causal Analysis in Public Health Data : "Conducted a groundbreaking causal analysis on public health data using R and Python. Applied advanced machine learning algorithms to identify causal relationships between lifestyle factors and health outcomes. Utilized feature selection techniques to identify the most relevant variables. Employed cross-validation and statistical testing to ensure the reliability of the findings. Presented results in a clear and concise manner, demonstrating the impact of lifestyle choices on health outcomes." Metastasis Prediction and Precision Medicine for Breast Cancer : "Driving innovation in breast cancer diagnostics, developed cutting-edge GCNN models using TensorFlow and Keras. Implemented advanced deep learning techniques, including Layer-wise Relevance Propagation (LRP), to interpret model predictions. Integrated clinical and genomic data to personalize treatment plans for breast cancer patients. Achieved significant improvements in prediction accuracy and model interpretability, paving the way for transparent AI-driven precision medicine solutions in healthcare." CERTIFICATES Azure Alteryx Azure Fundamentals (AZ-900): Entry-level certification Alteryx Foundational Micro-credential demonstrating foundational knowledge of MicrosoftAzure cloud services. Machine Learning Fundamental Micro-credential Azure Data Fundamentals (DP-900): Certification validating basic understanding of core data concepts and Azure data services. EDUCATION 2022/08 2024/05 Master of Science Miami, United States Florida International University M.S. in Data Science, GPA: 3.9. Specialized in Computational Analytics with coursework encompassing Data Analysis, Statistical Modelling, AI, Machine Learning, and more. Proficient in R/Python and committed to ethical data practices.. 2015/06 2019/05 Bachelor of Technology India Jawaharlal Nehru Technological University B.Tech in Electronics and Communication Engineering with a 76.62% aggregate. Focused on foundational engineering principles and technologies Keywords: artificial intelligence access management business intelligence sthree rlang information technology microsoft Arizona