DMDipti Moryaniinpredictiveanalytics15.hashnode.dev·2d ago · 11 min readInventory Optimization in Food Distribution: A Data-Driven Approach to Reducing Waste and Logistics CostsFood Distribution Is Becoming a Data Optimization Problem Food distribution has traditionally been driven by experience, fixed delivery schedules, supplier relationships, and historical ordering patte00
DMDipti Moryaniinpredictiveanalytics15.hashnode.dev·Jan 8 · 6 min readFrom Missing to Meaningful: Modern Approaches to Data Imputation in RHandling missing data remains one of the most persistent challenges in data analysis—often ranking among the top frustrations for data analysts and data scientists alike. Missing values can distort statistical summaries, bias models, and ultimately l...00
DMDipti Moryaniinpredictiveanalytics15.hashnode.dev·Jan 7 · 6 min readBeyond K-Means: Modern Hierarchical Clustering in ROver the last few articles, we explored popular classification and regression algorithms, which fall under supervised learning. In this article, we shift gears and dive into a different and equally important paradigm in machine learning: unsupervised...00
DMDipti Moryaniinperceptiveanalytics1.hashnode.dev·Nov 7, 2025 · 10 min readTransforming Tableau Performance: How Optimized Data Logic Cut Dashboard Load Time by 98.9%Data visualization is only powerful when it is fast, interactive, and reliable. In the world of business intelligence, even a few seconds of delay can break the user’s analytical rhythm. When dashboards take minutes to load, users disengage, business...00
DMDipti Moryaniinperceptiveanalytics1.hashnode.dev·Nov 2, 2025 · 8 min readPerforming Nonlinear Least Square and Nonlinear Regression in R: A Comprehensive Guide with Real-World Case StudiesIn the evolving world of data science, predictive accuracy often relies on how well a statistical model captures the complexity of relationships between variables. While linear regression models are widely used due to their simplicity and interpretab...00
