Meghna Chaturvedi

I am a detail-oriented data analyst with hands-on experience applying Python, SQL, Excel, Tableau and Power BI to derive actionable insights and improve processes. I have practical experience in hypothesis testing, regression forecasting and data mining, and I apply quantitative methods to support strategic decisions.

Currently, I work as an AI/LLM Analyst at Innodata India, where I design and execute structured evaluation frameworks to measure LLM output quality across production use cases, identify model inconsistencies, and collaborate with global teams to define success metrics and standardize performance benchmarks.

During my Data Science Trainee stint at MedTourEasy, I built marketing tracking dashboards in Tableau and R Shiny and produced end-to-end analytics reports integrating predictive model outputs with business recommendations. Earlier, during my Data Analyst internship at Intertek India, I reduced soft-line testing turnaround time by 10% and performed hypothesis testing and regression analysis on datasets collected over five months. I also completed front-end work as a Web Development intern, leading the login page implementation using HTML, CSS, JavaScript, Bootstrap and React.js.

I have academic training in Data Science from IIT Madras and a B.Tech in Computer Science, and I delivered high-accuracy ML projects using SVM, Random Forest, and ANN for crop yield prediction and weather forecasting. I volunteer with animal welfare and sports organizations and hold certifications including Google Data Analytics Professional Certificate and Microsoft PL-900.