Data Leader at Oracle | SaaS Product | AI/ML | Data Engineering & Data Science
Current Role:
* Leading advanced Data Science and Data Engineering initiatives for a cutting-edge SaaS product.
* Overseeing the full data lifecycle: ingestion, transformation, AI/ML modeling, and deployment.
* Driving data analytics initiatives to provide real-time insights and predictive analytics for strategic business decisions.
Previous Experience:
* Walmart: Led integration of IoT sensor data to optimize operational efficiency and enhance customer experience.
* Accenture & Drug Information Group: Gained deep expertise in retail, healthcare, and IoT industries.
Leadership & Team Development:
* Passionate about building high-performing, cross-functional teams.
* Focus on mentorship, continuous learning, and team growth through coaching and development.
* Proven track record in recruiting and scaling diverse teams for complex, large-scale data solutions.
Technical Expertise:
* Proficient in modern data engineering and data science stacks, including:
* Cloud platforms (AWS, GCP, Azure)
* Data orchestration tools (Apache Airflow)
* Machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn)
* Data pipeline tools (Apache Kafka, Apache Spark, SQL solutions)
* Experienced in implementing real-time streaming analytics and batch processing systems.
Additional Skills:
* Strong background in Software Development, system design, API architecture, and cloud-native technologies.
* Expertise in bridging the gap between technical teams and business stakeholders, aligning data strategies with business objectives.
Continuous Innovation:
* Always exploring emerging technologies and methodologies in data science, engineering, and AI.
* Committed to driving business growth through data and staying ahead of industry trends.Data Lead
- Interests: AI, ML, Data Science, Data Engineering & LLMs
- Skills: AI, ML, Data Science, Data Engineering & LLMs