Sasanka Valety

About Sasanka Valety

Sasanka is working as Principal Data Scientist since Apr 2018 and primarily in Data space since Mar 2010. He has proven expertise in architecting, designing and delivering solutions to customers of IBM across all the industries that IBM has been operating in the last 18+ years here since he joined in Jun 2004. He was selected from IIT Madras as part of campus hiring program of IBM where he was pursuing his MBA at that time. Sasanka has received numerous awards over the last decade recognizing the Eminence and Excellence of the commitment, contributions to the organization and clients he has worked for. He also worked as Lead Business Strategy Consultant with Global Business Solution Centre (GBSC) setting up Business Process Management (BPM) and Industry Business Architecture Model (IBAM) CoE\'s. He was involved in program management for creating SOA based CBM, Process, Data and Service Modelling offerings. In parallel he was a Banking Industry Consultant developing assets with risk management focus. Before that he was Operations Strategy Consultant with Strategy & Change for onsite and offshore engagements performing Financial Modelling and Analysis for top 300 client accounts of IBM, Risk Management in the banking domain and Process Modelling offeringsDeep Industry Expertise & Functional Knowledge: Aerospace & Defense, Automotive, Banking, Financial Services, Insurance, Education, Government, Media and Entertainment, Oil & Gas, Metals & Mining, Telecommunications, Retail, Chemicals & Natural Resources, Energy & Utilities, Retail, Consumer Packaged Goods, Healthcare, Travel & TransportationKey Clients: ABB, ADP, AIG, Airtel, Allianz, ASML, AT & T, ANZ Bank, Axis Capital, Bank of America, Bank of Montreal, BNYM, BCG, BP, BG, BMW, CBA, Citi, Cleveland Clinic Abu Dabhi, DBS, Ford, General Motors, HDFC Bank, Honda, ING Bank, Liberty Life, Metropolitan Health, Nedbank, PayPal, Shell, SBI, St. Michael’s Hospital, SBI, Standard Life, Toyota, US Department of Energy, US Department of Justice, etc.Tools and Technologies: Content Analytics and NLP using Python, R, Spacy, Spark, SPSS, Watson Explorer OneWEX Platform and Watson Discovery on AWS, Azure, GCP and IBM CP4D platforms and Watson Studio on IBM Cloud Private Enterprise using Kubernetes containersSkillsets: Azure AI Engineer Associate, Azure Data Solution Designer, Azure Data Fundamentals, Azure AI Fundamentals and Microsoft Azure Architect DesignerAssignments: Delivered Watson Explorer based federated search application for a big media house to collaborate media assets across 50 sources*2025 Apr 03

Experience

1. Principal Data Scientist

   IBM

   Apr 2018 — Present · Hyderabad, IN

   DevOps and Watson Discovery NLP Lead to build, manage and maintain rapidly provisioned servers to host data, WEX, and other components to complete alpha, beta and production solutions in agile mode primarily using OneWex Platform in a Kubernetes container on top of IBM Cloud Private Enterprise setup

Education

• Acharya Nagarjuna University

  B.Tech, Electrical and Electronics Engineering

• SYMBIOSIS INTERNATIONAL UNIVERSITY

  Ph.D, Computer/Information Technology Administration and Management

• Indian Institute of Technology, Madras

  MBA, Dual Specialization 1) Systems & IT Management, 2) Project & Operations Management

Skills

• Analysis
• Leadership
• Machine Learning
• Business Intelligence
• Teradata
• Program Management
• Software Development Life Cycle (Sdlc)
• Business Process
• Process Modeling
• Customer Relationship Management (Crm)
• Management Consulting
• Integration
• Vendor Management
• Strategy
• Service-Oriented Architecture (Soa)
• Devops
• Software Project Management
• Business Analysis
• Global Delivery
• Functional Requirements
• Project Implementation
• Project Delivery
• Project Management
• Product Management
• Insurance
• Business Development
• Resource Management
• Consulting
• Deep Learning
• Banking
• Team Management
• Pre-Sales
• Data Modeling
• Artificial Intelligence
• Analytics
• Business Strategy
• IT Strategy
• Enterprise Software
• Enterprise Architecture
• Oracle