ritika goel
Contact details — on requestProof of Work — on request
Experience
Data Analyst
RagaAI Inc · Oct 2023 – Present
R
Data Analyst
Raga AI · Sep 2023 – Oct 2025
- Developed a platform to manage and optimize LLM projects with features like dataset and prompt management, evaluation tools, synthetic data generation, and guardrails.
- Integrated agent tracing to monitor LLM behavior, tool usage, user interactions, and performance for improved transparency and debugging.
- Built internal analytics views using Python + Plotly/Streamlit-style interactive dashboards to visualize model performance, evaluation metrics, and usage trends for stakeholders.
- Performed systematic quality analysis on image datasets used for facial expression recognition and human pose estimation tasks (FER, COCO Keypoints).
- Identified and quantified data quality risks such as duplicate records, inconsistent resolution, extreme lighting conditions, motion blur, and class imbalance impacting downstream model performance.
- Designed interactive EDA dashboards using Python + Plotly/Streamlit to explore label distributions, class imbalance, and coverage gaps across categories.
- Designed trend and diagnostic graphs to compare image quality metrics (resolution, exposure, blur) across classes, enabling faster identification of bias and data skew.
- Translated insights from visual analysis into actionable business recommendations, including data sampling strategies, outlier handling, and imbalance mitigation to improve dataset reliability and analytical outcomes.
- Developed and implemented custom evaluation metrics for clients, including context relevancy, response correctness, and response completeness.
- Conducted benchmarking of hallucination and false refusal detection using industry-standard datasets (RagTruth, HaluEval), comparing evaluation outputs across Ragas (76%) and Azure (78%) frameworks, with final agreement accuracy of 86% against reference labels.
- Collaborated with cross-functional teams to align metric definitions with client goals and model evaluation needs.
Data Analyst
FluxGen Technologies · May 2023 – Jan 2024
F
Data Analyst
FluxGen Sustainable Technologies · May 2023 – Aug 2023
- Colected water usage data from industries using REST APIs, used Python tools to clean and analyze the data to monitor industries' water usage patterns and variations, extracted meaningful insights, plotted graphs, and delivered insights to a minimum of ten significant clients.
Research Intern
IQApex Labs · Aug 2021 – Nov 2021
Skills 0 proven through work
Also works with
Data UnderstandingAdaptabilityQuery WritingData ScienceLarge Language Model ConceptsMatplotlib VisualizationAPI-Based Data CollectionTabular Data Cleaning & ValidationData-Driven RecommendationsCost-Saving Initiative ManagementPresentation DesignAWS DeploymentLarge Dataset HandlingComputer Vision Dataset SourcingHugging Face UsageData Discrepancy InvestigationData Repetition PreventionImage ProcessingExploratory Data Analysis (EDA)Data ValidationLLM Output Verification and ValidationAI Hallucination DetectionAI Model TestingTime Series Trend AnalysisData VisualizationUser Interface DesignApplication MonitoringPlatform DevelopmentStreamlit Application DevelopmentPlotlyPython DevelopmentReal-Time Dashboard DevelopmentAI Platform Optimization
Proof of Work
Proof of Work
ritika shares this with people who ask. You'll hear back either way.
Education
Bachelor of Science, Statistics
Amity University, Noida · 2015 — 2018
Contact details
Contact details
ritika shares this with people who ask. You'll hear back either way.
Ask about this candidate
AI responses may contain errors. Proof status and source information are provided by Proof of Skill.
A Proof CV — one profile, kept current, with the proof attached. Back to the portal