Manohar Gadde

About Manohar Gadde

With 17 years of experience leading Data Science and AI transformation across global enterprises, I specialize in building scalable, end-to-end ML systems that unite business strategy, technology, and measurable impact.My journey spans leadership roles at Wells Fargo, Citi, and American Express, where I’ve built and led teams delivering AI-driven automation, NLP frameworks, and Big Data platforms that power enterprise decision-making.At Wells Fargo, I drive AI programs across Applied Machine Learning, Generative AI, and OCR automation, building reusable frameworks that improve efficiency and accelerate AI adoption.At Citi, I led data modernization and ML transformation, migrating legacy SAS environments to PySpark-based Hadoop ecosystems, creating reusable risk and compliance analytics frameworks, and designing machine learning pipelines that automated classification, anomaly detection, and compliance risk modeling.I combine a Full-Time MBA (IIM Lucknow) with an M.Tech in Data Analytics (BITS Pilani), blending strategic vision with deep technical expertise. My toolkit spans Python, PySpark, SQL, Hive, TensorFlow, LangChain, Hugging Face Transformers, and Model Governance — covering every stage from prototype to production.Passionate about Applied AI, LLMs, and Responsible AI, I actively mentor data scientists and lead internal capability-building programs that foster innovation and continuous learning.Always open to discussions on building scalable AI ecosystems, transforming analytics teams, and accelerating enterprise-wide adoption of Generative AI and ML systems.Focus Areas: Applied AI | Generative AI for Process Automation | Responsible AI | AI Strategy & Transformation | AI Talent Development | LLM Applications

Experience

1. VP - Data Science

   Wells Fargo

   May 2021 — Present · Hyderabad, IN

   Partner with U.S. business and technology leaders to translate strategic goals into data-driven initiatives delivering measurable business value. Oversee end-to-end analytics programs — from data strategy and model development to visualization, deployment, and executive communication. Drive collaboration across model-governance, engineering, and product teams to ensure scalable, compliant AI adoption. Deliver AI-powered tools that automate, streamline enterprise processes and accelerate decision-making. Lead and mentor data-science teams, fostering innovation, technical excellence, and continuous learning. Champion internal AI capability-building through knowledge sharing, learning sessions, and thought-leadership content.

Education

• Indian Institute of Management, Lucknow

  MBA, Marketing and Strategy

  2008 — 2010

• Bhashyam Public School

  SSC

  1997 — 2000

• BITS Pilani Work Integrated Learning Programmes

  Master of Technology - MTech, Data Analytics

• Acharya Nagarjuna University

  B.Tech, Electronics and Telecommunications

  2002 — 2006

Skills

• Analytics
• Python
• Streamlining Process
• Business Analysis
• Sql
• Requirements Gathering
• Project Management
• Sas
• Performance Dashboards
• Cross-Functional Coordination
• Benefit Cost Analysis
• Unix