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Vishwa Vidhatha

@vishwavidhatha

Analytics Solutions Specialist automating ETL pipelines and using LLM evaluation to turn high-scale data into business outcomes.

India

Message

What I'm looking for

I’m looking to apply AI-augmented analytics to automate ETL, evaluate and improve LLM quality (RLHF/RAG), and build decision-ready BI dashboards—partnering with engineering and business teams to reduce errors, raise throughput, and enable proactive planning.

I’m an Analytics Solutions Specialist with a B.Tech in Computer Science and Engineering (AIML), focused on bridging engineering and business stakeholders. I automate complex ETL pipelines and extract actionable intelligence from high-scale datasets—reducing manual errors by 80% and boosting operational efficiency by 25% through AI-augmented business intelligence, LLM evaluation (RLHF/RAG), and proactive resource planning.

As an AI Business Analyst and LLM Trainer (Freelance), I optimize LLM performance using RLHF and RAG evaluation frameworks for Computer Use Agents, driving 95%+ alignment with complex user prompts. Previously, as a Data Analyst (Internship), I built 6+ Power BI dashboards with advanced DAX, engineered scalable SQL Server/Power Query ETL to cut report latency by 30%, automated 15+ reporting workflows to eliminate 80% of manual entry errors, and delivered Python (ARIMA) time-series forecasting to support proactive planning and risk mitigation.

Experience

Work history, roles, and key accomplishments

Current

AI Business Analyst & LLM Trainer

Current

Turing

Mar 2026 - Present (3 months)

Optimized LLM performance using RLHF/RAG evaluation frameworks for Computer Use Agents, achieving 95%+ alignment with complex user prompts and 30% higher throughput vs baseline benchmarks. Conducted generative response audits while enforcing zero-tolerance quality protocols.

RAG LLM Evaluation Prompt Engineering Quality Assurance Computer Use Agents Zero Tolerance Protocols

Data Analyst Intern

RealPage

Jun 2024 - Jun 2025 (1 year)

Built 6+ Power BI dashboards and ETL pipelines to unify financial data, increasing cross-department operational efficiency by 25% and reducing report-generation latency by 30%. Automated 15+ manual reporting workflows with Power Automate/Power Apps to cut data-entry errors by 80% and developed ARIMA models to forecast invoice volumes for a 6-month horizon.

Power BI DAX SQL Server Power Query ETL Power Automate