Jayachandra Gadde
Data Scientist | AI & Analytics
Data Scientist and Data Engineer with over 3.7 years of experience designing and deploying end-to-end machine learning pipelines and scalable cloud data platforms on Microsoft Azure. Proficient in Python, PySpark, SQL, and Azure Databricks, with a focus on large-scale data processing, feature engineering, and AI model integration. Demonstrated success in developing NLP preprocessing pipelines and data-driven solutions for Finance, Sales, and Supply Chain domains. Combines deep statistical knowledge with strong engineering practices to transform complex datasets into measurable business outcomes while optimizing data workflows and cloud infrastructure efficiency.
Experience
Data Scientist / Data Engineer
Kairos Technologies · Dallas, TX, USA
- Developed PySpark preprocessing pipelines for Azure DaVinci, reducing AI ingestion errors by 40% and cutting total preprocessing runtime by 30%.
- Created a configuration-driven data ingestion framework supporting multiple file formats, eliminating 200+ engineering hours of quarterly rework across five projects.
- Built end-to-end Machine Learning pipelines for transactional data, reducing Power BI reporting cycle times from three days to near real-time.
- Engineered Azure SQL Server stored procedures using optimized query plans, improving API response efficiency by 25% for Machine Learning microservices.
- Implemented Ataccama data quality rules and reduced Databricks compute costs by 35% using access-pattern-driven format selection and Unity Catalog governance.
- Developed automated data workflows via Azure Data Factory and Git-integrated CI/CD pipelines to ensure reproducible, zero-downtime data science deployments.
Backend Developer (AI & Machine Learnin)
Camplin Innovations · Bengaluru, KA, India
- Developed scalable backend services and RESTful APIs using Python (FastAPI/Flask), enabling seamless data integration between frontend applications, databases, and machine learning components.
- Built end-to-end machine learning pipelines for data collection, feature engineering, model training, and deployment utilizing Scikit-learn, TensorFlow, and PyTorch frameworks.
- Integrated Large Language Model (LLM) capabilities for document processing, semantic search, and chatbot functionality, improving system automation and business decision-making outcomes.
- Optimized PostgreSQL and MySQL databases through efficient query indexing, reducing API performance bottlenecks and improving average response times by over 40 percent.
- Containerized backend and machine learning services using Docker, implementing CI/CD pipelines for automated testing to ensure reliable software releases in agile cycles.
- Collaborated with cross-functional teams to prototype and launch AI solutions, participating in code reviews to maintain high engineering standards across project tasks.
Skills
Education
Master of Science in Business Analytics
Texas A&M University – Commerce · Commerce, TX, USA
Bachelor of Engineering in Computer Science — IoT Specialization
Jain University – School of Engineering & Technology · Bengaluru, India