Varun Thampi

Developed a time-series weather forecasting model using ARIMA/Prophet methods to predict temperature trends. Applied data cleaning and transformation on a large dataset to reduce noise and improve forecast quality. Built interactive analytics dashboards in Tableau and Power BI to present trends for humidity, rainfall, and temperature.

Designed a PostgreSQL database for gym operations including memberships, trainer schedules, and payments. Implemented data integrity constraints to enforce consistent business rules. Added reporting/analysis to surface insights such as plan popularity and revenue trends.

Built an AI-driven sales development agent using adaptive prompt libraries integrated into n8n workflows to automate outreach. Focused on improving contextual accuracy of generated messages while reducing manual effort. Used the setup to support a repeatable sales outreach process.

Handled triage for client-reported issues in enterprise financial applications, using a data-driven approach to identify recurring patterns and likely root causes before escalation. Investigated application-level problems and prepared clear evidence-backed findings for development teams. Logged and tracked incidents in Jira and communicated status updates to clients and stakeholders throughout resolution.

Built a segmented intelligence database for a football club ecosystem across Kerala districts to support business development targeting. Developed sponsorship outreach strategy for multiple corporate targets and engaged at CXO level to convert outreach into partnership conversations. Supported event execution end to end, coordinating stakeholders including vendors and on-ground logistics.

Designed a PostgreSQL schema for a CRM-ready structure for an AI and robotics EdTech business, covering school master data, readiness, engagement history, and geography. Created a rule-based segmentation framework to classify schools into personas and built an automated persona assignment using spreadsheet logic. Delivered strategy and reporting outputs to track pipeline health, engagement velocity, and conversion readiness.