Open to opportunities

Krishna Goswami

@krishnagoswami

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Web developer who builds data-driven dashboards and automation to boost business KPIs.

Zimbabwe

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What I'm looking for

I want to build and ship web and data solutions that improve KPIs—automating reporting, strengthening dashboards, and optimizing performance. I’m excited to work with Python/SQL and modern frontend frameworks in a fast, collaborative team.

I’m a computer science BTech graduate (IIIT Vadodara) and a current Web Developer at ISPAPP. I automate reporting workflows like abandoned carts and delivered orders, improving customer engagement by 20–25%.

At ISPAPP, I build data pipelines and dashboards for orders and user activity to track KPIs—improving data accuracy by 60–80% and reducing manual analysis effort by 30%. Previously, I optimized backend services handling large datasets while maintaining 200ms response time and improving processing efficiency by 80%.

Through internships, I integrated GeoServer APIs to improve geospatial visualization performance (25% faster load times) and built scalable UI components for map-based interactions, increasing system reliability by 40%. I also develop analytics-heavy projects—automated EDA, anomaly detection, and SQL insights on 100K+ and 6M+ record datasets—because I enjoy turning messy data into reliable, actionable decisions.

Experience

Work history, roles, and key accomplishments

Current

Web Developer

Current

Ispapp

Nov 2025 - Present (6 months)

Automated customer reporting workflows (abandoned cart and delivered orders), improving customer engagement by 20–25%. Built data pipelines and KPI dashboards for orders and user activity, increasing data accuracy by 60–80% and reducing manual analysis effort by 30%.

Workflow Automation Data Pipelines KPIs Reporting & Analytics Customer Engagement

Frontend Developer Intern

Rekise Marine

Sep 2024 - Dec 2024 (3 months)

Integrated GeoServer APIs for geospatial datasets, improving data visualization performance and reducing load times by 25%. Developed scalable UI components for map-based interactions, improving reliability by 40% and enabling smoother data exploration.

Geoserver Geospatial Data Frontend Development UI Components Performance Optimization API Integration Data Visualization

Software Development Intern

Privado

Feb 2024 - Aug 2024 (6 months)

Optimized backend services for large dataset processing, maintaining ~200ms response time and improving processing efficiency by 80%. Automated data pipelines using cron jobs, increasing data accuracy by 60% and ensuring reliable reporting workflows.

Backend Services Performance Tuning Data Pipelines