Merging Data Engineering, Process Automation, and Business Intelligence to build scalable data products.
I am not just an analyst who reports numbers. I am a builder. My background spans SQL Backend Development, Data Architecture, and Automated Reporting.
I believe the medium of presentation is as important as the data itself. While my core expertise is in Data, I leverage modern web tools to build custom interfaces when standard dashboards fall short. I built my portfolio as a web application to gain 100% control over the user journey and analytics tracking, something static PDFs cannot do.
- 🔭 Current Focus: Automating reporting infrastructures using Python & GCP.
- ⚛️ Methodology: Using the right tool for the job—whether it's Power BI for dashboards or a Custom Web App for flexibility.
- 💡 Key Win: Reduced reporting manual work by ~80% via automated pipelines.
| Project | Tech Stack | Business Problem Solved |
|---|---|---|
| Secure Power BI Middleware | Apps Script REST API Power Query |
Problem: API Rate Limits (429 Errors) crashing reports. Solution: Architected a custom token-bucket middleware ensuring 100% refresh reliability. |
| Integrated Data Portfolio | Replit LLM-Assisted Google Analytics |
Problem: Static PDFs fail to demonstrate end-to-end data capabilities. Solution: Leveraged AI tools to rapidly deploy a live web app that tracks its own visitor analytics. |
| Executive Financial Suite | Figma DAX Star Schema |
Problem: Executives overwhelmed by operational data. Solution: Designed a "SaaS-style" dark-mode dashboard with Profit Waterfalls and Revenue Attribution. |
| Data Engineering & Science |
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| Database & SQL |
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| BI & Visualization |
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Aug 2025 – Present
- End-to-End Automation: Designed automated data pipelines to refresh reports, eliminating manual effort and reducing recurring reporting work by ~80%.
- Middleware Architecture: Built secure token-based middleware to fix API rate limits.
- Advanced Modeling: Modeled structured datasets using relational and semi-star schemas to support scalable KPI tracking.
Jul 2025 – Aug 2025
- Contract Conversion: Delivered high-impact dashboards for sales & finance that directly led to a full-time offer within 2 months.
- Data Integration: Unified disparate data sources (APIs, Google Sheets, CRM data) into centralized Power BI models to replace fragmented spreadsheet reporting.
- Performance Optimization: Applied advanced DAX patterns to optimize report rendering speed and ensure data accuracy for decision-makers.
Mar 2025 – Present
- Full-Spectrum Showcase: Designed a platform to demonstrate the complete data lifecycle—from Data Engineering pipelines to Data Science models—proving capability beyond basic analytics.
- AI-Augmented Development: Leveraged Replit and LLMs (ChatGPT, Gemini) to accelerate frontend construction. This allowed me to focus purely on the data logic and user psychology while using AI to handle the syntax.
- SEO & Analytics: Integrated Google Analytics and Search Console to monitor traffic; achieved 60+ sessions in the first month from global users (India, US, Israel).
Mar 2025 – Jun 2025
- Backend Optimization: Debugged and modified PL/SQL Stored Procedures used by backend services, reducing query execution time significantly.
- Data Validation: Parsed complex JSON payloads within SQL workflows to validate data integrity before deployment.
Nov 2024 – Feb 2025
- ROI Impact: Analyzed logistics and fulfillment costs to identify inefficiencies, improving Logistics ROI by ~10%.
- Operational Efficiency: Automated daily review pipelines using scripting, reducing processing time from 30 minutes to ~2 minutes (93% efficiency gain).
- Cost Reduction: Built dashboards that reduced Return-to-Origin (RTO) by 2–3% and increased delivery rates by 4–5%.