Veem
CurrentPreparing data by collecting, cleaning, and preprocessing data to ensure its suitability for machine learning algorithms.Participation in the regular weekly strategy meetings with engineering and operations teams to strategize product improvement and data refinement.Managing Projects and documentation by tracking ongoing projects in sprints, preparing documentation, business test cases, and data validation, alongside maintaining a data tracker.Managing the data Pipeline by developing tracking mechanisms for data, automating scripts, pushing data pipelines, and ensuring data readability. Creating and scheduling ETL and Reverse ETL jobs to transfer data between servers and CRM tools like HubSpot.Enhancing backend dynamic data transformation automation using the DBT models, creating data transformation pipelines through xplenty, dynamic table creation in snowflake and SQL task scheduling.Deploying and Enhancing Machine learning models by Launching new data model deployments, retraining data models with fresh data weekly, and customizing rules to minimize false positive outcomes.AI Integration for Onboarding Customers by utilizing Auto ML Data robot tools to automate customer onboarding processes and enhance security measures against identity theft and account takeovers.Maintaining Stakeholder Engagement and Reporting by Collaborating with internal and external stakeholders to gather business requirements, design, develop, and automate data reports, publishing them in readable formats using visualization tools i.e. Google data studio, Tableau, Excel to support various analyses.Preparing a mechanism and obtaining reports with the data visualization tools such as looker, tableau to keep the track of churned accounts. Preparing the dashboard to monitor the sales campaign, click events, API call events. Cost Optimization of the tools by keeping the track of the credits used by the queries and API calls.
