Akash Ananth

• Automated 3+ recurring data workflows end-to-end (Airtable, Make, Python), gathering requirements directly from stakeholders. • Built an MCP (Model Context Protocol) server integrating Pipedrive CRM with a hosted LLM via REST APIs for consistent data flow. • Collaborated with sales and operations stakeholders, translating operational needs into documented technical solutions.

• Structured 1,200+ product records via REST API integrations (Sage SQL Server, PostgreSQL, Shopware) for reliable data exchange. • Validated 20,000+ database records through structured QA, improving reporting accuracy and data reliability. • Built a sales-analytics platform (Supabase, Node.js) to help the sales team analyze leads and customer data for faster decisions. • Bulk-validated 585 products via automated Python workflows, boosting cross-system data reliability.

• Conducted structured academic and applied research on emerging AI/ML methodologies, analyzing and monitoring model performance to generate data-driven insights and contribute to research papers. • Investigated analytical approaches against academic literature to inform research methodology and framework design, applying a curious, proactive and solution-oriented mindset to quantitative research projects.

• Built Power BI dashboards and reports, turning stakeholder requirements into clear, actionable visualizations. • Analyzed business datasets (Python, Pandas, SQL) to deliver KPI insights supporting operational decisions.