Aryan Mittal
Data Analyst @LatentView || VIT\'23
- Role
- Data Analyst at LatentView Analytics
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Aryan Mittal
Results-driven professional with experience delivering end-to-end data and AI solutions…
Experience
Data Analyst
Feb 2024 — Present · Chennai, IN
Generative AI Audience Messaging tool• Collaborated with a Fortune 500 AI and software leader to streamline the analysis of open-ended survey responses and support data-driven marketing decisions.• Build an intelligent application to streamline the creation, testing, and personalization of marketing content, enabling faster audience targeting and insight generation for internal marketing and product teams.• Designed and implemented automated data pipelines that reduced manual data wrangling time by over 70% by efficiently cleaning, preprocessing, and transforming structured and unstructured survey data.• Extracted and structured metadata from video transcripts for segregating data across diverse target audiences.• Uploaded and indexed semantic embeddings of open-text responses into Azure AI Search to enable quick and accurate similarity-based message retrieval.• Developed index data deletion workflows in Azure Table Storage, allowing flexibility in data ingestion.• Integrated Azure AI Studio and LLMs for automated message evaluation and persona-based response generation.• Shortened the end-to-end data processing lifecycle from 15+ days to < 9 days, significantly accelerating insight delivery.• Enabled adoption across 50+ internal teams at the tech giant, powering 100+ strategic marketing decisions per quarter.Thematic Causal Analysis• Conducted causal analysis for a Fortune 500 client to uncover cause-and-effect relationships, identifying root drivers of customer behavior and delivering actionable insights to support brand, product, and event strategies.• Analyze open-ended survey feedback and telemetry data to identify key causal drivers impacting overall brand.• Preprocess the raw comments from the survey and generate contextual embeddings for topics of interest.• Extracted themes by applying clustering and techniques such as few-shot and chain of thought prompt,enabling deeper understanding of customer feedback.• Constructed a Directed Acyclic Gra
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