Shikhar Shukla
Director, Data Science at Visa | ISB MBA | IIT
- Role
- Director Data Science at Visa
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Shikhar Shukla
Data science professional with a demonstrated track record of partnering with CXOs at Fortune 500 firms, specializing in developing data science & analytics solutions, ML/AI-driven products, multi-year strategic roadmaps, and transformation programs. About 10 years of experience leading data science teams, delivering end-to-end machine learning solutions at scale from inception to business impact assessment.The analytics solution use-cases vary- Across functions: Sales, Digital Marketing, Strategy, Growth, Operations, Customer Experience, Enterprise Data & Analytics- And industries: Banking, Financial Services, Asset Management, Credit, FinTech, Insurance, othersStrong Suites: Data & Analytics Strategy Design, ML / AI Product Management, Data Science Solution Design (predictive models, generative AI, business intelligence, NLP, heuristic models, etc.), Customer & Marketing Analytics, Team Leadership, and Cross-functional Stakeholder Management.
Experience
Director Data Science
Jul 2024 — Present · San Francisco, CA, US
Building data science and GenAI-driven products & solutions for the Global Risk org at Visa- Leading Visa’s data science and anomaly detection strategy through a global team and cross functional partnerships- Targeting fraud and non-compliance risk within Visa’s payment ecosystem (merchants, acquirers, issuers and payment facilitators); directly impacting Visa’s topline.
Education
Indian School of Business
Master of Business Administration (MBA)
2016 — 2017
Indian Institute of Technology, Roorkee
Integrated Master of Technology, Geophysical Technology
2008 — 2013
Skills
- Risk Compliance
- Computational Geophysics
- Python
- Mathematical Modeling
- Microsoft Word
- Powerpoint
- Microsoft Excel
- Matlab
- Html
- Seismology
- International Team Coordination
- Programming
- Signal Processing
- Research
- Machine Learning
- Microsoft Powerpoint
- Data Analytics
- Arcgis
- Data Modeling
- Insurance Consulting
- Geophysics
- Data Analysis
- Microsoft Sql Server
- Petroleum Geology
- C++
- Catastrophe Modeling
- Project Leadership
- Teamwork
- Risk Management
- Microsoft Office
- R
- Predictive Analytics
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