Senior Analytics Leader with 16 years of experience transforming data into business strategy through Analytics, Machine Learning, and AI.
- Customer Analytics
- Product Analytics
- Machine Learning
- Recommendation Systems
- AI & Generative AI
- Customer Segmentation
- Experimentation & A/B Testing
- Predictive Modeling
- Executive Data Storytelling
Production-style marketing measurement workspace for campaign performance, marketing mix modeling, multi-touch attribution, experimentation, budget simulation, and client-ready reporting.
Highlights
- Marketing mix modeling with adstock, saturation, seasonality, and holdout validation
- Seven attribution methods, including Markov and Shapley
- Statistical experiment evaluation and deterministic budget scenarios
- Dynamic filters with adaptive daily, weekly, and monthly reporting
- Branded PDF and PowerPoint exports
- 32 automated tests with GitHub Actions CI
🚀 https://marketing-analytics-copilot.streamlit.app
👉 https://github.com/romy0806/marketing-analytics-copilot
AI-powered executive decision-support platform that consolidates Finance, Product, Marketing, Customer, Support, and Social Media data into a unified dashboard with AI-generated executive insights. Built to help leadership teams identify cross-functional trends, risks, opportunities, and recommended business actions from a single interface.
Highlights
- AI-generated executive briefings using LLMs
- Interactive KPI dashboards with MoM, YoY & YTD analysis
- Cross-functional business intelligence
- Upload Excel & CSV business datasets
- Trend analysis & executive reporting
- Streamlit application with OpenAI integration
👉 https://github.com/romy0806/executive-analytics-agent
Customer analytics platform using RFM segmentation, Pareto analysis, market basket analysis, and revenue opportunity modeling to identify growth opportunities and generate next-best-product recommendations.
Business Impact
- £916K estimated revenue growth opportunity
- £113K cross-sell opportunity
- RFM segmentation
- Market Basket Analysis
- Recommendation Engine
👉 https://github.com/romy0806/customer-growth-recommendation-engine
Machine learning solution using customer segmentation and logistic regression to improve click-through prediction.
Highlights
- +21% AUC improvement
- K-Means clustering
- Logistic Regression
- Customer Segmentation
👉 https://github.com/romy0806/personalization-engine-content-optimization
- Agentic AI
- LLM Applications
- AI Assistants
- MCP
- RAG
Python • SQL • Pandas • NumPy • Scikit-learn • Tableau • Power BI • GitHub • OpenAI
LinkedIn: https://www.linkedin.com/in/paromitadas
