Radhakrishna Mothukuri

25+ years of IT Enterprise Architecture, Technical Sales, Pre-Sales, & Business Development experience

• Post Graduate Program in Cloud Computing, University of Texas at Austin - McCombs School of Business, Austin, TX, 2021-01-01, 2022-01-01
• Professional Certification Program in Blockchain, Indian Institute of Technology, Kanpur, Kanpur, India, 2022-01-01, 2022-01-01
• AWS Certified Architect - Professional, 2022-01-01, 2022-01-01
• Post Graduate Program in AI & ML, University of Texas at Austin - McCombs School of Business, Austin, TX, 2020-01-01, 2021-01-01
• Post Graduate Program in Data Science & Business Analytics, University of Texas at Austin - McCombs School of Business, Austin, TX, 2019-01-01, 2020-01-01

• Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent various aspects of the organization's data. This includes understanding different data modeling techniques and standards
• Database Management Systems (DBMS): Deep understanding of various database technologies such as relational databases (e.g., MySQL, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and NoSQL databases
• ETL (Extract, Transform, Load): Knowledge of how to optimize database performance and scalability., Ability to understand the various mechanisms of the ETL flow
• Data Warehousing: Experience in designing data warehouses or data lakes to store and manage large volumes of structured and unstructured data
• Data Governance and Security: Understanding of data governance principles and practices, including data quality, data lineage, data stewardship, and data security. Ensuring compliance with relevant regulations such as GDPR, HIPAA, or CCPA
• Data Integration: Knowledge of data integration techniques and tools to facilitate seamless data flow between different systems and applications within the organization
• Business Intelligence (BI) and Analytics: Familiarity with BI tools (e.g., Tableau) and analytics platforms for deriving insights from data and creating data visualizations and dashboards for stakeholders
• Programming and Scripting: Proficiency in programming languages such as Python, or R for data manipulation, analysis, and automation tasks
• Cloud Technologies: Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and services related to data storage, processing, and analytics. AWS Certified Professional
• Communication and Collaboration: Strong communication skills to effectively communicate technical concepts to non-technical stakeholders and collaborate with cross-functional teams including data engineers, data scientists, and business analysts
• Problem-Solving and Analytical Thinking: Ability to identify data-related problems, analyze complex datasets, and propose innovative solutions to meet business objectives

• Regression: Linear Regression, Logistic Regression, LASSO, Ridge
• Re-sampling Methods: Bootstrap, Cross Validation
• Decision Trees: Random Forest, Bagging, CART, CHAID
• Unsupervised Learning: Clustering, Segmentation, PCA, KNN
• Text Analysis: Text Mining, Sentiment Analysis
• Programming Languages: R, Python
• Data Visualizations: Tableau
• Cloud Technologies: AWS, Azure
• AI Democratization Tools: H2O,