Keertish Kumar

• Facilitated knowledge sharing among team members through regular training sessions on best practices in data analytics techniques and tools.
• Data Migration From on premise MySQL to GCP BigQuery Using Data Streaming
• Data Migration From CloudSQL (MySQL) to GCP BigQuery Using Data Streaming
• Migrated its on-premises database to the cloud for better scalability, reliability, and cost-effectiveness to move data from their existing database to Google Cloud Storage in a structured and efficient manner.
• Developing Android applications using Flutter technology, integrating modules for blood pressure, blood sugar, temperature, ECG, SpO2, and stethoscope functionalities into a single application. Developing an admin panel web application using CodeIgniter 4 PHP framework.

• Identified and documented detailed business rules and use cases based on requirements analysis.
• Researched and resolved issues regarding integrity of data flow into databases.
• Utilized data visualization tools to effectively communicate business insights.
• Worked with business intelligence software and various reports to glean insights into trends and prospects.
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements.
• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Analyzed transactions to build logical business intelligence model for real-time reporting needs
• Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users
• Upheld security and confidentiality of documents and data within area of responsibility
• Developed required policies and procedures that reflected actual goals, tasks and workflows, while meeting all regulatory compliance requirements

R&D on Image Processing: 12-lead ECG Classification Using CNN and VGG-19

• Tested and validated models for accuracy of predictions in outcomes of interest.
• Compiled, cleaned and manipulated data for proper handling.
• Modeled predictions with feature selection algorithms
• Participated in team-building activities to enhance working relationships.
• Demonstrated leadership skills in managing projects from concept to completion

• Incremental learning using cream library for live streaming customer churn prediction
• Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
• Translated cost and benefits of machine learning technology for non-technical audiences.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations Using Business Intelligence Tools
• Participated in workshops to advance skills