DSND Term 2 Portfolio Exercise: Optimize promotion offers for Starbucks

This repository contains files for my Codebasics Challenge #9: Analyse Promotions and Provide Tangible Insights to Sales Director

Promotion planning optimization project for pharmaceutical supply chains

Atliq Mart 🛒, a prominent retail giant with over 50 supermarkets in the southern region of India, conducted a large-scale promotion during the festive seasons of Diwali 2023 🪔 and Sankranti 2024 🪁 on their Atliq branded products.

AI-powered semantic search and analysis for FMCG promo copy. Find, classify, and re-use high-performing headlines using LLMs, emotion analysis, and KPI filters. Modular Python project with Streamlit dashboard—showcasing practical data science and modern NLP for marketing.

Analysis simulated data of the Starbucks Rewards mobile app and implementation of machine learning models to predict individual offer portfolios for each customer

End-to-end Excel VBA data model for evaluating price elasticity, promotion lift, and sales performance. Automates data preparation and integration, calendar mapping, KPI computation, and scenario simulations for FMCG analysis.

End-to-end FMCG sales analytics dashboard built with Power BI, analyzing sales performance, promotion impact, margin risk, and inventory exposure across 3 years of data.

📊 Analyze price elasticity and promotion effectiveness in FMCG using an automated Excel VBA model for insightful sales performance evaluation.