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Director AI & Machine Learning Resume
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| Desired Industry: Information Technology |
SpiderID: 85001 |
| Desired Job Location: Atlanta, Georgia |
Date Posted: 6/10/2025 |
| Type of Position: Full-Time Permanent |
Availability Date: |
| Desired Wage: 275000 |
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U.S. Work Authorization: Yes |
| Job Level: Management (Manager, Director) |
Willing to Travel: Yes, Less Than 25% |
| Highest Degree Attained: Doctoral |
Willing to Relocate: No |
Objective:
Obtain full-time permanent employment where I can leverage my deep experience and skills in AI and Data Science.
Experience:
See resume for more.
PROFESSIONAL EXPERIENCE
Head of Decision Science
Fastlane Financial Solutions Bayview Asset Management | Jul 2022 Present
Architected and implemented a corporate Marketing ML modeling strategy leveraging online customer behavioral features, enhancing decision-making across all business units.
Developed ML models for multiple sales funnel steps of leading corporate products.
Spearheaded integration of automated AI agent workflows into repetitive manual activities, designing a proprietary conversational assistant with RAG, designed a customer-facing chatbot, automated complex decisioning process reducing speed-to-lead boosting team productivity and improving incremental revenue.
Led development of a near real-time CI/CD ML inferencing infrastructure, increasing customer targeting precision and driving 15% revenue growth.
Established cross-affiliate automated data pipelines enhancing ML model efficacy.
Directed ML modeling transition from AWS to Microsoft Fabric, improving agility and cost-efficiency.
Forged cross-affiliate partnerships and led cross functional teams to integrate siloed data streams, enhancing model accuracy, speed to deployment, and business intelligence outputs.
Vice President of Data Science & Advanced Analytics
GreenSky (Goldman Sachs) | Atlanta, GA | Apr 2019 Jul 2022
Built and scaled GreenSkys first Data Science Center of Excellence, recruiting top talent and establishing best practices in AWS ML model deployment.
Delivered $3.2M in annual recovery benefits through predictive Recovery Models; improved delinquency tracking with Roll Models generating $2.9M per 1% enhancement.
Designed profitability forecasting and loan origination models that directly influenced executive decision-making and merchant partnerships.
Pioneered a BERT based chatbot PoC to automate customer interactions, reducing agent workload and operational costs.
Developed NLP chatbot, entity extraction, and sentiment analysis models for voice-to-text conversions of inbound customer calls.
Launched comprehensive model governance programs ensuring regulatory compliance and enterprise model integrity.
Hired, trained, and mentored highly talented data science team.
Promoted rapidly from Director to Vice President based on strategic and technical leadership impact.
Lead Data Scientist
Infosys-McCamish & SunTrust | Atlanta, GA | Jun 2016 Apr 2019
Created a centralized, Python-based Data Science Center of Excellence, transitioning users from SAS and democratizing ML adoption.
Developed high-impact ML models for banking (e.g., Customer Lifetime Value, Advisor Model) and insurance (e.g., Underwriting, Claims Forecasting, Churn Prediction).
Introduced NLP-based solutions such as topic modeling to replace unreliable manual call dispositioning processes.
Mentored junior data scientists, strengthening client-facing technical capabilities.
Education:
PhD, MS & BS
Skills:
Agentic AI | AI/ML | AWS | Azure | BERT | Fabric |H2O | JupyterLab | Keras | Knime | GenAI | GBM | Machine Learning | Microsoft Fabric | Multivariate Management | Team Leader | Business Strategy | Statistics | Neural Networks | Prompt Engineering | PySpark | Python | SageMaker | Snowflake | spaCy | SQL | Tableau | TensorFlow | Visual Studio Code
Additional Information:
AI & MACHINE LEARNING EXECUTIVE | STRATEGIC TECHNOLOGY LEADER
Visionary executive with 15+ years leading data science, AI, and machine learning innovation across finance, insurance, and telecommunications sectors. Proven expertise blending deep technical capabilities with strategic leadership to drive transformative growth, profitability, and operational efficiency. Known for building and mentoring global teams, aligning AI initiatives with business objectives, and delivering high-impact, scalable solutions using emerging technologies such as LLMs and Generative AI.
CORE STRENGTHS
AI & Machine Learning Innovation
Strategic Business Planning and Execution
Global Team Leadership and Mentorship
Cloud Infrastructure Expertise (AWS, Azure, Microsoft Fabric)
Data-Driven Decisioning and Product Development
Executive Communication & Cross-Functional Collaboration
Statistics/Analytics & Business Intelligence
AI Governance, Model Management, and Compliance
CAREER IMPACT HIGHLIGHTS
Created and implemented cloud-based AI customer targeting solutions at Fastlane Financial that drove 15% revenue growth in $460M annual revenue.
Played a key role in GreenSky's successful $2.24B acquisition by Goldman Sachs through strategic analytics leadership.
Reduced customer churn at BellSouth by developing ML initiatives, saving over $42M annually.
Built GreenSky's first Data Science team from the ground up, resulting in multimillion-dollar operational savings.
Established respected Centers of Excellence in AI & ML across multiple organizations, elevating their analytics capabilities.
Designed and deployed a BellSouth platform that successfully managed over 100 production ML models annually.
Reference:
Available upon request.
Candidate Contact Information:
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