A personal public record of what I have studied, understood, explored, built, and documented across operations, analytics, finance, management, AI, and systems.
Notes, architectures, and implementation patterns for transformers, large language models, agentic workflows, and neural inference systems.
Notes and working models covering statistical inference, econometric forecasting, mathematical optimization, and decision trees.
Strategic frameworks, market entry mechanics, competitive dynamics, platform economics, and consulting problem-solving models.
Personal notes on corporate valuation models, capital structure dynamics, working capital cycles, and derivative pricing mechanics.
Frameworks for organizational structure, leadership dynamics, team behavior, change management, and corporate governance.
A personal collection of notes, analytical frameworks, and working knowledge covering enterprise resource planning, multi-echelon supply networks, inventory mathematics, and production systems.
Software architecture, distributed systems, container orchestration, microservices, cloud topologies, and backend engineering.
Focus: Prof. Rahul Altekar
A foundational study notebook covering Enterprise Resource Planning definitions, siloed legacy evolution, 3-tier client-server architecture, the Five Pillars of ERP, and Value Matrix strategic analysis.
Focus: Prof. Rahul Altekar
Methodologies for enterprise ERP deployment (ASAP, Waterfall vs Agile), Big Bang vs Phased rollout strategies, Business Process Reengineering (BPR) vs Customization, Total Cost of Ownership (TCO) models, and organizational change dynamics.
Focus: Prof. Manoj Dagaonkar
Rigorous mathematical treatment of inventory systems: EOQ derivation, Economic Production Quantity (EPQ), Quantity Discount tiers, Continuous (r, Q) vs Periodic (s, S) review, Safety Stock sizing under uncertainty, and the Newsvendor model.
Focus: Prof. Ajit Maurya, Prof. Manoj Dagaonkar, Prof. Praful More
Master synthesis covering the 15-session syllabus, high-frequency past examination questions across 2023-2025, model numerical solutions, analytical frameworks, and professor emphasis patterns.
Mathematical mechanics of Scaled Dot-Product Attention, Multi-Head Attention, Positional Encodings, and Transformer encoder-decoder topologies.
Theoretical foundations of distributed systems: Brewer's CAP Theorem, Abadi's PACELC extension, Paxos and Raft consensus algorithms, and event-driven architectures.
Macro-organizational structures, Mintzberg's five configurations, Lawrence & Lorsch contingency theory, and matrix governance trade-offs.
Rigorous financial valuation mechanics covering Free Cash Flow to Firm (FCFF), Weighted Average Cost of Capital (WACC), Capital Asset Pricing Model (CAPM), and Terminal Value calculations.
A foundational study notebook covering Enterprise Resource Planning definitions, siloed legacy evolution, 3-tier client-server architecture, the Five Pillars of ERP, and Value Matrix strategic analysis.
Methodologies for enterprise ERP deployment (ASAP, Waterfall vs Agile), Big Bang vs Phased rollout strategies, Business Process Reengineering (BPR) vs Customization, Total Cost of Ownership (TCO) models, and organizational change dynamics.
Four distinct cognitive modalities engineered for deep understanding, retention, and verification.
Rigorous, proof-backed study texts with 12-point anatomy, mathematical derivations, real-world case studies, and faculty perspectives.
Parametric models with live parameter sliders to explore sensitivity in EOQ curves, safety stock trade-offs, and INCOTERMS risk frontiers.
Verbatim past examination questions with complete mark breakdowns, step-by-step arithmetic solutions, and exam traps.
Exhaustive KaTeX equation cards detailing exact boundary conditions, variable definitions, units of measurement, and numerical proofs.
Brain is a personal public knowledge base containing what I have studied, understood, explored, built, and documented over time across operations, quantitative analytics, finance, management, AI, and systems engineering.