Sachin Pandey

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

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Adding new column with DEFAULT II

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Question of the Day

Adding new column with DEFAULT II

Which number did the two COUNT(*) return: 

DROP TABLE IF EXISTS #tmp
CREATE TABLE #tmp (id INT NOT NULL)

INSERT INTO #tmp (id) 
SELECT gs.value
  FROM GENERATE_SERIES(1, 5) AS gs

ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value

ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

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