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.
Analyse the customer purchase behaviour to optimize inventory cost
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
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PostgreSQL retail revenue and customer analytics using CTEs, window functions, and Pareto analysis
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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.
Statistical analysis project utilizing ANOVA and Pareto analysis techniques to identify manufacturing defect trends and support quality improvement initiatives.
"An operational dashboard designed to track production efficiency, analyze repeat fail rates, and identify bottlenecks in repair processes using Pareto analysis."
BSc thesis: energy and performance profiling of lightweight object detection models for autonomous vehicle perception. RAPL measurement scripts, raw results, and analysis.
CPU-only retrieval benchmark comparing BM25, dense embeddings, RRF hybrid, and cross-encoder reranking on a video-game corpus -- with blind graded relevance judgments and a quality-vs-cost Pareto analysis.
🧹 Advanced academic Linux system optimization tool — Bloom filter dedup, Shannon entropy, linear regression, Pareto analysis, 18 modules, multi-language
Customer profitability and segmentation analysis using Python, SQL and Power BI, identifying high value customers and revenue concentration using Pareto analysis.
Customer segmentation using RFM, cohort analysis & CLV insights
CRM segment analysis focused on action priority, Pareto validation, and customer decision-making.
Python implementation of Simulated Annealing for VLSI floorplanning using Normalized Polish Expression, slicing floorplans, cooling-rate experiments, and Matplotlib visualizations.
Salary analysis of all active, permanent employees of Montgomery County, MD paid in 2023. Descriprive Statystics, Histogram, Pareto analysis, Correlation and more.
An end-to-end Business Intelligence solution featuring a high-performance Power BI dashboard. Integrates PostgreSQL data modeling with advanced DAX measures to analyze global e-commerce sales, logistics, and profitability. Includes YTD tracking, Pareto (80/20) analysis, and interactive UX for strategic decision-making.
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