Siri Shailaja
Data Analyst | BI & Generative AI | Automating Insights & Driving Data-Driven Decisions
- Role
- Data Analyst Ai Data Evaluator at Centific
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Siri Shailaja
I’m a Data Analyst with a strong focus on transforming raw data into actionable insights that drive business decisions. I enjoy working at the intersection of analytics and AI, where I can not only analyze data but also automate processes and improve efficiency using modern tools.In my experience, I’ve worked on cleaning and analyzing large datasets, building dashboards, and identifying trends that help stakeholders make informed decisions. I’ve also leveraged generative AI and LLM tools to streamline workflows, enhance data processing, and improve analytical output.I’m particularly interested in solving real-world business problems—whether it’s optimizing performance, improving reporting processes, or uncovering insights that lead to measurable impact.I’m a Data Analyst with a strong focus on transforming raw data into actionable insights that drive business decisions. I enjoy working at the intersection of analytics and AI, where I can not only analyze data but also automate processes and improve efficiency using modern tools.In my experience, I’ve worked on cleaning and analyzing large datasets, building dashboards, and identifying trends that help stakeholders make informed decisions. I’ve also leveraged generative AI and LLM tools to streamline workflows, enhance data processing, and improve analytical output.I’m particularly interested in solving real-world business problems—whether it’s optimizing performance, improving reporting processes, or uncovering insights that lead to measurable impact.Core Skills & Tools• SQL, Python (Pandas, NumPy)• Power BI, Tableau, Excel (Advanced)• Data Cleaning, EDA, KPI Development• Dashboarding & Data Visualization• Generative AI / LLM Applications• ETL, Data Validation & AutomationI’m currently seeking opportunities where I can contribute to data-driven decision-making while continuing to grow in analytics, business intelligence, and AI.• SQL, Python (Pandas, NumPy)• Power BI, Tableau, Excel (Advanced)• Data Cleaning, EDA, KPI Development• Dashboarding & Data Visualization• Generative AI / LLM Applications• ETL, Data Validation & AutomationI’m currently seeking opportunities where I can contribute to data-driven decision-making while continuing to grow in analytics, business intelligence, and AI.
Experience
Data Analyst Ai Data Evaluator
Oct 2025 — Present · Seattle, WA, US
Analyzed multilingual and multimodal datasets used in LLM training pipelines by performing annotation validation, data governance checks, and dataset quality analysis using Python and SQL, improving data integrity and model training accuracy. • Evaluated AI generated responses for tone, intent alignment, and factual accuracy, using Excel evaluation frameworks and data manipulation techniques to identify inconsistencies and deliver structured feedback that improved response reliability. • Supported model fine-tuning and RLHF feedback cycles by analyzing annotation datasets, applying data modeling and manipulation techniques, and identifying error patterns that helped refine datasets and improve model performance. • Developed and maintained Power BI dashboards to monitor project KPIs such as annotation throughput, dataset coverage, and quality scores, enabling data-driven tracking of project progress and delivery timelines. • Conducted data quality analysis and workflow diagnostics across labeling pipelines using Python and Excel, identifying inefficiencies and implementing improvements that increased labeling accuracy and operational productivity. • Performed geographic and project-level data analysis using SQL queries and Excel reporting, generating insights on participant distribution, recruitment progress, and dataset readiness for project stakeholders. • Collaborated with AI engineers, QA specialists, linguists, and operations teams to integrate analytical findings, maintain operational trackers, and ensure alignment with data governance standards, dataset requirements, and project timelines.
Education
Campbellsville University
Master of Science - MS, Computer Science
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