Manager - AI and Data Science
Summary
Seasoned executive with 14+ yrs in design, development, & leadership roles for AI/data science consulting & product development. Adept in engaging business stakeholders to uncover opportunities, define AI strategy & design differentiated AI solutions. Designed & monetized AI based real-time fraud detection engine which creates hyper-granular profiles, & delivers more accurate risk score within milliseconds, & CRM personalization & automation engine which creates more accurate segmentation & CLV.
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 / year
Academic Degree
Experience
Total Professional Experience
Startup Experience
Enterprise Experience
Skills
- Data Science
- Machine Learning
- ML
- Data Science Languages
- Libraries Python
- Scikit-learn
- PyTorch
- Keras
- XGBoost
- R
- Java
- SQL
- C++
- PowerQuery
- DSML
- Platforms TensorFlow
- 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
- Business Object
- Third Party Data Vendors
- Such As Neilson Claritas
- SNL
- Equifax
- Etc.
- Cloud Based Data Management
- Cloud Migration
- Amazon Web Services
- MS Azure
- Others
- Snowflake
- Cloud Based Data Marketplace
- Trifacta
- Cloud Based Data Wrangling
- Preparation
- Platform
- 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 Project Management Tools
- Approaches Such As SCRUM
- Kanban
- Feature Engineering
- Other Technical Knowledge
- MS Office
- Visio
- Project