Binayak C.

About Binayak C.

As an enthusiastic and aspiring Data Scientist, I bring a rich 6.5 year journey from mastering SQL to BI tools and now diving into cloud technology. My expertise spans Advanced SQL, Advanced Excel, Bigquery, GCP(intermediate), Tableau, Looker studio and PowerBI, equipping me to unearth actionable insights from intricate datasets. In my career, I’ve mastered Advanced SQL to expertly extract, shape, and analyze complex datasets with precision. My SQL expertise is complemented by my use of BI tools to create interactive and visually compelling dashboards, turning data into clear, actionable insights. If you’re seeking a data-driven professional with a sharp analytical mindset and a passion for growth in Data Science, I’m excited to connect and explore how I can contribute to your organization’s success.

Experience

1. Business Analyst

   Vmware

   Aug 2023 — Present · Bengaluru, IN

   Developed interactive ROI dashboards in Tableau Server, integrating multiple data sources for in-depth revenue insights.Worked on Actuals, P&L, QBR, and PO bookings reports, creating schema-based dynamic views in Tableau for real-time analytics.Designed and implemented scalable data management solutions on Google Cloud Platform (GCP) to optimize bookings and revenue tracking.Developed end-to-end process documentation and a detailed pre-deployment plan to streamline workflow execution.Created UML diagrams to illustrate the bookings lifecycle and its connection to revenue recognition, improving leadership visibility.Led the optimization of the bookings process for enhanced efficiency and transparency, ensuring alignment with business goals.Worked extensively with Google Cloud Platform (GCP) and Looker Studio to generate product consumption metrics and analytical views.Built dynamic Excel dashboards to track weekly revenue and key performance metrics.Implemented a data warehousing solution to store and analyze historical bookings data for Tableau visualization.Collaborated with stakeholders to gather requirements and provide ongoing analytical support for data-driven decision-making.Managed PVUE and Gilmore bookings revenue tracking, ensuring accurate revenue recognition and financial reporting: Automated Catalog generation, reducing processing time from 6 hours to 10 minutes, improving efficiency and data accuracy. Streamlined Finance Actual Report generation, enhancing data consistency and reducing manual effort for financial reporting. Automated Win Wire Slide creation, eliminating manual effort, reducing human errors, and enabling data archiving for analysis.