promotion-analysis

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

Analyzes promotional campaign performance for an FMCG client across products, stores, and cities using sales and events data. Delivers business insights on revenue uplift, sales impact, campaign effectiveness, and promotion performance through clear visualizations.

拼多多商品推广数据分析与诊断 Skill，支持投产比分析、调价决策、推广健康度评估，按次付费（1元/次）

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

Educational team project analyzing Starbucks promotion performance and customer segments using RFM analysis, Python, and Tableau.

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.

SQL analysis of Zara sales data to identify revenue drivers, product performance and promotion impact.

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.

반정형 고객 이벤트를 고객·오퍼 단위로 재구성해 프로모션 대상과 채널 우선순위를 제안한 CRM 분석

Nudge finds customers who convert because of a promotion, not just customers who convert. Built with econml, DuckDB, XGBoost, and Streamlit.

HR Analytics Project using Python to analyze employee salary distribution, hiring trends, promotion patterns and experience-based promotion rates using EDA and data visualization.

This project analyzes product performance, cost efficiency, and promotion impact using Power BI. The goal is to identify profitable products and evaluate the effectiveness of promotional strategies.

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.

Power BI analysis of 104 weeks of ad spend across 5 channels, testing whether promotional weeks actually earn their budget. Baseline weeks take 80% of spend and bring in 93% of revenue. It also tests whether promotions pay off a week or two later, and they don't. Built with Power Query (M) and DAX.

Analyzed multi-country chocolate sales data to identify revenue drivers, optimize price-pack strategies, evaluate promotion effectiveness, and uncover growth opportunities across brands, customer segments, and sales channels.