Bharathi Kannan Srinivasan Email & Phone Number

Auckland, New Zealand

• AWS Data Pipeline Expertise: Designing and implementing AWS architecture to establish end-to-end data pipelines for different data formats encompassing ingestion, storage, transformation, visualization and optimizing performance.• AWS Services Proficiency: I work extensively with Amazon Redshift for data warehousing, AWS Glue for data ETL (Extract, Transform, Load), API Gateway for building and managing APIs, Amazon S3 for object storage, ECS Fargate for containerized applications, DynamoDB for NoSQL database needs, AWS Lambda for serverless computing, AWS CodeBuild for continuous integration, and RDS (Relational Database Service) for managing relational databases.• Cross-functional Collaboration: Collaborating closely with cross-functional teams to identify business requirements and develop data-driven solutions.• Client Communication: Regularly engaging with clients to gather, resolving issues and refine project requirements.• Deployment Skills: Deploying data applications on AWS using EC2, Fargate and ECS services, ensuring scalability and reliability.• Data Quality Assurance: Conducting data cleaning and pre-processing to uphold data quality and consistency standards.• Data Visualization: Utilizing tools like Python Dash, Power BI, and QuickSight for data visualization to uncover trends, generate reports, identify patterns, and reveal data relationships.• Map Visualization: Using tools and libraries such as Mapbox, Leaflet, or geospatial extensions for spatial data visualization tools like Power BI and QuickSight to create interactive maps and visualizations. • Version Control: Managing code and project assets using Bitbucket as a code repository.• Agile Methodology: Operating within an Agile software methodology framework, utilizing JIRA for project management.• Documentation: I use Confluence for documentation and collaboration, seamlessly integrating it with JIRA for Agile project management, to ensure efficient project documentation.

Lincoln, Canterbury, New Zealand

The project involves natural language processing techniques to do a qualitative analysis of the interview transcripts.• Communicating with the social scientist and collecting the interview transcript data.• Data cleaning and organising data for data analysis and data visualisation.• Extracting useful information from the transcripts to assess the knowledge of the interviewee.• Used Power BI and python for reports visualisation to effectively communicate results to stakeholders.• Documentation of the project, recommendation for future use, and presentation to the client.Role: Requirements gathering, data pre‐processing, data modelling, and visualisations.Tools/Language Used: Python (Pandas, NumPy, Matplotlib), Jupyter Notebook, R Shiny.

India

• Data-Driven Application Maintenance: I actively managed and enhanced Java-based applications and websites, with a keen focus on data-driven functionalities and features to ensure optimized performance and data integrity.• Database Proficiency: Utilized SQL server as the backbone for the database operations, emphasizing robust data management, security, and reliability, crucial for the aviation industry's stringent data requirements.• Issue Resolution and Data Integrity: Demonstrated my ability to troubleshoot and resolve reported issues promptly, recognizing the critical importance of maintaining data integrity for aviation operations.• Data-Driven Client Collaboration: Engaged in effective communication with clients to gather data-related requirements and discuss data-centric reported issues, aligning the system with the client's data-driven needs.

Mysore, Karnataka, India

My internship project was based on the idea of an Automated Multilevel Parking system web application, which helps the company employees to log in based on their roles for booking and approval of the parking lots.

Master'S Degree, Data Science

Completed Master's degree in Data Science and the courses are Statistics, Big Data, Data Mining, Data Wrangling, Data Science in Industry.

Bachelor Of Information Technology, Computer Science