Shiva Shankar Reddy K
About Shiva Shankar Reddy K
Shiva Shankar Reddy K is a Data Analyst with expertise in analytics derived from structured and unstructured data, utilizing technologies such as Hadoop, Spark, and Python. He has worked at Affinitiv Inc since 2017 and previously at McKinsey & Company, focusing on Big Data solutions and machine learning algorithms.
Work at Affinitiv
Shiva Shankar Reddy K has been employed at Affinitiv Inc as a Data Analyst since 2017. In this role, he has focused on delivering Big Data solutions, utilizing technologies such as Hadoop and AWS. He has contributed to projects that involve managing and analyzing large datasets, with a storage capacity exceeding 500 TB. His work includes deploying and tuning Big Data clusters, demonstrating his proficiency in handling both structured and unstructured data.
Education and Expertise
Shiva possesses expertise in various data analysis technologies and methodologies. He specializes in deriving insights from both structured and unstructured data using tools like Hadoop, Spark, and AWS Athena. His proficiency extends to programming in Python, where he utilizes libraries such as sklearn, scipy, matplotlib, numpy, and pandas for data analysis tasks. Additionally, he has a strong understanding of machine learning algorithms, including Gradient Boosting Model, Linear Regression, and Random Forest.
Background
Before joining Affinitiv, Shiva worked as an Analyst at McKinsey & Company from 2012 to 2017. During his five-year tenure at McKinsey, he gained valuable experience in data analytics and survey management. His background includes a strong foundation in Hadoop architecture, including components like MapReduce and the Hadoop Distributed File System, which supports his current analytical capabilities.
Achievements in Data Analytics
Shiva has delivered significant contributions in the field of data analytics, particularly in Big Data solutions. He has utilized Qubole for deploying and tuning Big Data clusters with over 50 nodes, both on-premise and in the AWS cloud environment. His experience also includes text analytics, focusing on Natural Language Processing and Aspect-Based Sentiment Analysis, which enhances his ability to extract insights from diverse data sources.
Technical Skills and Tools
Shiva is proficient in a variety of technical tools and programming languages essential for data analysis. He has experience using survey management tools like ConfirmIT and reportal, which aid in data collection and analysis. His technical skill set includes advanced knowledge of Python and its data analysis libraries, as well as expertise in deploying and managing Big Data technologies, making him a valuable asset in any data-driven environment.