Sanjeev C

Built an end-to-end automation pipeline for product classification across entity and segment hierarchies using NLP and LLMs, combining BERT, GPT-based few-shot learning, and rule-based extraction. Fine-tuned and deployed sentiment and emotion classification models across languages; designed prompts for structured attribute extraction from unstructured text; developed an automated AI system that spots rising trends and validates them in top markets, delivering big-bet opportunities across categories.

Analyzed large-scale unstructured and business data from social, media, sales, economic, and campaign sources to generate actionable insights for Unilever. Built a framework for merger & acquisition decision support by analyzing brands across sources using multiple metrics to inform brand acquisition prioritization. Developed a PESTLE framework for 20 countries to assess macro factors impacting the FMCG market and forecast sales. Identified lead indicators for campaigns using machine learning to drive uplift in brand KPIs such as awareness, ad recall, and purchase intent. Determined key drivers of market penetration across LSM categories using pricing, market share, and brand power metrics. Delivered scalable analytics solutions including Dataiku plugins, AWS-based Alexa skills, and automated Power BI dashboards.

Analyzed large-scale unstructured and business data from social, media, sales, economic, and campaign sources to generate actionable insights. Built a Merger & Acquisition framework to evaluate brands across multiple metrics; developed a 20-country PESTLE framework to forecast FMCG sales; identified lead indicators for campaigns driving KPIs like awareness and purchase intent. Delivered scalable analytics solutions including Dataiku plugins, AWS Alexa skills, and automated Power BI dashboards.