Personal experiments on Reinforcement Learning

Optimal routing and delivery solutions using Google Maps and Python.

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.

🚚 "2021 Huawei Delivery Optimization Competition" - Using a genetic model to minimize the multi-vehicle transportation cost with vehicle capacity constraints.（“2021华为配送优化竞赛” - 使用遗传算法在车辆运力限制下最小化多车辆的运输成本。）

🚚 A genetic model written in Python for minimizing the delay time of delivery routes.（使用Python编写的用于最小化物流配送时间的遗传算法。）

Hermes Logistics - Fleet Management & Route Optimization

Building a Semantic Delivery Coordination Engine

Business analytics & data visualization project analyzing Blinkit’s quick commerce model-delivery speed, urgency marketing, customer behavior, and revenue insights using Tableau.

University final project - "Веб-приложение для оптимизации авиамаршрутов доставки почтовых отправлений с использованием роевого интеллекта" (Grade A)

Gen AI–powered sprint risk analysis prototype for Technical Program Management. Simulates automated detection of delivery blockers and cross-team dependencies, demonstrating potential to reduce manual status review time by ~30–40% and improve early risk visibility in engineering programs

TypeScript based engine for optimally assigning delivery orders to riders using multi-stage optimization, intelligent batching, and dynamic surge handling.

A Python-based delivery optimization model using nearest neighbor heuristics for order grouping and route efficiency, with included CSV datasets and test results.

A delivery optimization project using causal inference and logistic optimization

A high-performance Spring Boot application that solves the Vehicle Routing Problem (VRP) by optimally allocating delivery orders to a fleet of vehicles. It uses a custom Greedy Nearest-Neighbor Algorithm with the Haversine Formula to minimize total travel distance while strictly respecting priority tiers and vehicle capacity constraints.

`ExternalIpAnalyzer.ps1` is a PowerShell script that processes ETL (Event Trace Log) files generated by Windows Delivery Optimization to extract external IP addresses and output them into a CSV file.

End-to-end delivery analytics: SQL ops analysis, 37-feature ML model (94.77% accuracy), peak-hour insights, weather/traffic impact, production-ready predictions.