Akhil Kanugolu

WORK HISTORY

EDUCATION

ABOUT AKHIL KANUGOLU

I\'m a Full Stack Data Professional excelling at seamlessly navigating the intersections of AI, data science, engineering, and visualization. My forte lies in transforming complexity into clarity, automating processes, and crafting visually compelling stories that drive strategic decisions. A testament to my commitment to innovation is my role as a patent holder for groundbreaking contributions to the DDMS project.My expertise extends into transformative initiatives, particularly my pivotal role in architecting and developing the Testing as a Service (TAAS) Product. This project showcases my ability to translate theoretical concepts into practical, impactful solutions, contributing to the evolution of the Universal Testing Translator for telecom. And created CHatBot with backend models such as the Large Language Models (LLM) agent and Vector Similarity Search within TAAS to enhance functionality, specifically in the form of a Q&A system.I take pride in making significant contributions to DISH\'s development ecosystem. Actively participating in the creation of the DISH DevEx SDK package on PySpark, my dedication to knowledge-sharing is reflected in my active presence on platforms like GitHub and Medium. This commitment fosters a collaborative and learning-oriented community, ensuring that the wealth of knowledge in AI, data science, and related fields is accessible to a broader audience.In addition, I have hands-on experience with Data Visualization, utilizing it within comprehensive data platforms to create interactive dashboards and reports. Fueled by a deep passion for innovation, I turn abstract ideas into practical applications. My skills cover cloud-native solutions, data engineering, and cutting-edge research. In every role and project, my goal is not just to meet but to exceed expectations, propelling progress in the dynamic landscape of data science and engineering.Skills:• Cloud:• AWS: IAM, S3, Lambda, DynamoDB, Sagemaker, Glue, Athena, Quicksight, Cloudwatch, Code Commit, Code Pipeline, Code Build, SVC.• Azure: ADF, Synapse, Azure Databricks, Azure Data Lake, Azure SQL, Azure Blob, Azure Data warehouse.• Data: Big Data, Data Visualization & Data Analysis, Data Quality, Airflow, ETL Pipelines, Apache Spark, Hadoop, MongoDB, Snowflake, Kafka, Pig, Power BI, AI, Deep Learning, Statistics.• Programming: Python, SQL, R, Java, CSS, HTML5• BPM: Pega – PRPC• DevOps: Jenkins, Docker, Kubernetes• Others: APIGEE, GitHub/Gitlab, Wireshark• Methodologies: Agile, Waterfall, Scrum, SDLC