Akshath A

Company Overview: A global leader in technology services and consulting.

• Developed custom machine learning algorithms for specific industry needs, resulting in improved performance and efficiency.
• Optimized machine learning models by implementing advanced algorithms and feature selection techniques.
• Devised and deployed predictive models using machine learning algorithms to drive business decisions.
• Collaborated with cross-functional teams to define business requirements for new database projects.
• Troubleshot complex issues with databases, resolving problems quickly and effectively to minimize disruptions to end users' work.
• Worked with Cloudera Data Science Workbench, enhancing ML models, and optimizing code.
• Troubleshot complex issues impacting systems performance, applying root cause analysis techniques to prevent future occurrences.
• Enhanced application performance for increased user satisfaction by optimizing code and database queries.
• Collaborated with stakeholders to define technical requirements, ensuring alignment with business objectives.
• Offered technical leadership to junior personnel and other team leaders, providing expertise on various topics.
• Running data pipeline jobs in a cloud, training, and sandbox environments like both automated and manual.
• Engaged with Python, SQL, Cloudera, Hadoop, and various other tools for data management.
• Meet SLAs by collaborating with L1, L2, and L3 support organizations.

Company Overview: A company specializing in data analytics and operational software solutions.

• Collaborated with cross-functional teams to ensure consistent and accurate master data across systems.
• Streamlined data management processes for increased efficiency and reduced errors.
• Implemented advanced analytics tools to identify trends and patterns in master data, driving strategic decision making.
• Performed root-cause analysis on data-related system problems to recommend or execute corrective action.
• Implemented international or industry standards.
• Identified and removed duplicates in data to reduce purchasing errors.