R-Analysis: Identifying high value customers and low value of customers using RFM modelling
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Updated
Jun 11, 2020 - Jupyter Notebook
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
An interactive Excel dashboard analysing sales performance across stores, warehouses, and time periods using transactional sales data.
YouTube Shorts & TikTok Trends 2025 — EDA tutorial: creators/hashtags insights, platform & country breakdowns, Pareto effect, and trend lifecycle patterns.
Built a SaaS analytics project using SQL and Python where I reconstructed customer lifecycle from snapshot data and analyzed key metrics like MRR, churn, cohort retention, ARPU, and LTV. I found that revenue growth was driven by customer acquisition rather than pricing, as ARPU declined over time while MRR increased
Analyse the customer purchase behaviour to optimize inventory cost
End-to-end SQL project analyzing e-commerce sales, product performance, and customer behavior
Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective
Data-driven analysis and recommendations for optimizing sales, inventory, and customer experience at 99 Market Mall using business data management techniques.
PostgreSQL retail revenue and customer analytics using CTEs, window functions, and Pareto analysis
A comprehensive SQL analytics project solving real-world e-commerce business problems. Covers advanced concepts like cohort analysis, Pareto (80/20) revenue distribution, anomaly detection, and inventory optimization using SQL (CTEs, window functions, subqueries). Focused on deriving actionable business insights from structured datasets.
This project delivers an end-to-end procurement spend and performance analysis dashboard built in Power BI to support data-driven decision-making for finance, procurement, and senior leadership teams. The dashboard integrates budget and order data to provide a single, reliable view of spend performance and supplier risk.
Statistical analysis project utilizing ANOVA and Pareto analysis techniques to identify manufacturing defect trends and support quality improvement initiatives.
🧹 Advanced academic Linux system optimization tool — Bloom filter dedup, Shannon entropy, linear regression, Pareto analysis, 18 modules, multi-language
BSc thesis: energy and performance profiling of lightweight object detection models for autonomous vehicle perception. RAPL measurement scripts, raw results, and analysis.
Python implementation of Simulated Annealing for VLSI floorplanning using Normalized Polish Expression, slicing floorplans, cooling-rate experiments, and Matplotlib visualizations.
Interactive profitability & margin performance dashboard for Nassau Candy Distributor. Features Pareto analysis, sales forecasting, regional insights, and what-if scenario modeling using Streamlit and Plotly.
Six Sigma Yellow Belt project applying the DMAIC methodology to optimize customer interaction handling time by eliminating process inefficiencies, standardizing workflows and improving operational efficiency.
Automotive Sales Intelligence solution built in Power BI. Features full star-schema modeling, advanced DAX time-intelligence, regional dealer benchmarking, Pareto revenue concentration analysis, and data-driven customer affordability profiling.
Customer segmentation using abc analysis.
An end-to-end data science pipeline predicting 90-day Customer Lifetime Value and churn risk using BG/NBD and Gamma-Gamma models, deployed to an interactive Tableau dashboard.
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