Director-AI and Data Science
Summary
Seasoned executive with 18+ yrs of consulting experience with 10+ yrs in leadership roles for AI/data science consulting & product development. Adept in engaging with business to uncover opportunities, define AI strategy & design differentiated AI solutions. Conceived, designed & monetized innovative AI based platform & apps such as CRM analytics & automation with more accurate segmentation & CLV, real-time fraud detection engine with hypergranular profiling, faster & more accurate risk scoring.
Expectations
I thrive in a culture that is open, flexible, and driven by excellence. I contribute by best when given a chance to exercise my strengths and passion for research and creative problem solving by going beyond traditional approaches to resolve poorly defined and ambiguous problems and bring substantial benefits either in the form of a solution, or new IP, or an actionable advice to business leaders. I cherish building and leading high-performance teams that can create tangible value. Additionally, I believe in continuous learning and improvement and would not only love to have the opportunities to learn and grow my AI and leadership skills, but also to mentor and train others, specially in the area of AI/data Science.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Enterprise Experience
Skills
- Data Science
- Machine Learning
- ML
- Data Science Languages
- Libraries Python
- With Scikit-learn
- PyTorch
- Keras
- R
- Java
- SQL
- C++
- PowerQuery
- DSML
- Platforms TensorFlow
- XGBoost
- MS Azure ML
- AWS
- Alteryx
- DataRobot
- SAS
- Panda
- Agent Based Simulation Modeling AnyLogic
- Optimization Modeling
- RiverLogic
- Data Visualization S
- W -Tableau
- Spotfire
- Qlick
- ThoughtSpot
- PowerBI
- Custom
- JavaScript
- Python
- HTML5
- D3.js
- Data Management
- Reporting
- Oracle OBIEE BI Suit
- Microstrategy
- BO
- Third Party Data Vendors
- Such As Neilson Claritas
- SNL
- Equifax
- Etc.
- Cloud Based Data Management
- Cloud Migration
- Amazon Web Services
- MS Azure
- Others
- Cloud Based Data Marketplace
- Snowflake
- Cloud Based Data Wrangling
- Preparation Platform
- Trifacta
- AWS Data Wrangler
- Data Architecture
- Storage
- Data Vault 2.0 Techniques
- Data Models With Flexible Schemas
- Using Data Point Modeling
- NoSQL
- Graph Databases
- Data Virtualization
- Azure Synapse
- Querying Files Like Relational Database
- Logical Data Modeling
- MS SQL Server
- Oracle
- Teradata
- IBM Netezza
- Program
- Project Management
- Agile Program
- Project Management Best Practices
- Tools
- Approaches Such As SCRUM
- Kanban
- Feature Engineering
- Other Technical Knowledge
- MS Office
- Visio
- Project
- Specialties
- AI
- Statistical Modelling
- Agile AI Modeling
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Simulation
- Optimization
- Data Visualization
- Corporate Data Strategy
- Decision Support
- Cloud Data Mgmt
- Data Monetization
- Data Centric Organization
- Advance Analytics To Support Customer Acquisition
- Retention
- Recommendation
- Next Best Action
- Next Best Offer
- Go To Market
- Innovation
- Portfolio
- Branch Optimization
- Machine Learning Based Fraud Detection
- Personalized Marketing
- Micro-segmentation
- CLV
- CRM
- Omnichannel
- Geospatial Insights
- Trade Promotions Mgmt
- TPM
- TPO
- Product Portfolio Mgmt.
- PPM
- New Product Launch Process
- Cloud Based AI-Data Science Platform
- Business Architecture
- Data Lakes
- Logical Data-warehouse
- Service Virtualization
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