Vamshi Neyyala
Business Analyst | BI & Operational Analytics | Power BI, SQL | AI Evaluation & Data Annotation | 3.8+ Years
- Role
- Data Analyst (Ai Evaluation & Data Quality) at Turing
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Vamshi Neyyala
Business Analyst with 3.5+ years of experience driving BI and operational analytics across startups and enterprise environments. Specialized in Power BI, SQL, KPI frameworks, and root cause analysis to improve decision-making, efficiency, and performance.At WebWay Technologies, I worked as a Business Analyst/BI Developer, building Power BI dashboards, automating reporting, and partnering with stakeholders to define KPIs and support product and operational decisions. At ThunderPlus, I delivered executive-level performance dashboards and supported cohort, unit economics, and uptime analysis to improve business visibility and decision-making.Previously at Intouch CX, supporting the Samsung US contact centre, I analyzed 10K+ customer interactions, identified quality and escalation drivers, and contributed to a 20% improvement in support efficiency through data-led root cause analysis.My core strengths include BI reporting, KPI frameworks, RCA, and stakeholder collaboration, with hands-on experience in SQL, Power BI, Excel, Tableau, and foundational Python. I also bring exposure to AI training and data annotation through Turing, supporting data quality and model evaluation workflows. Target Roles: Business Analyst · Senior Business Analyst · BI Analyst · Product Analyst Open to Hyderabad or remote opportunitiesLet’s connect!
Experience
Data Analyst (Ai Evaluation & Data Quality)
Dec 2025 — Present
Working on AI data training and annotation projects for global clients through Turing’s remote talent platform.• Annotating and validating structured and unstructured datasets used for AI/LLM model training• Reviewing AI-generated outputs against quality guidelines to improve accuracy and relevance• Performing data categorization, tagging, and consistency checks at scale• Supporting model evaluation by identifying data quality gaps and annotation patterns• Collaborating with distributed teams to ensure high-quality data inputs for downstream analytics and AI workflows
Education
Sri Chaitanya College of Education
Intermediate
2016 — 2018
Kendriya vidyalaya
SSC
2015 — 2016
Saveetha School of Engineering
Bachelor of Engineering - BE
2018 — 2023
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