TRACKING NO. SCA–2026–01  ·  STATUS: IN TRANSIT

Akash Nishad

Supply Chain Analyst Candidate

MBA  ·  MS Engineering Management, Expected 2027

I move data the way good operators move freight — on time, in full, with a plan for when it isn't. This is the record of how I do it.

Who's shipping

I'm a supply chain and operations professional and currently pursuing MS in Engineering Management and pursued MBA Degree from Alliant International University, focused on turning messy operational data into decisions leadership can act on. My background spans demand planning, logistics analytics, and process improvement — with a habit of documenting the "why" behind every recommendation, not just the "what."

Outside of coursework, I build tools like this site to practice the same discipline I bring to supply chains: clear structure, traceable decisions, and nothing shipped without a QA pass.

Based in
Irving, Texas
Focus
Supply Chain Analytics & Ops
Education
MBA · MS Eng. Mgmt (2027)
Tools
Excel · SQL · Power BI · Python
Status
Open to internships / full-time roles

What's on board

01

Demand & Inventory Planning

Forecasting, safety stock modeling, S&OP process design.

02

Data & Analytics

SQL, Excel/VBA, Power BI dashboards, Python for data cleaning.

03

Process Improvement

Lean/Six Sigma methods, root-cause analysis, workflow redesign.

04

Logistics & Sourcing

Vendor evaluation, freight cost modeling, network optimization.

05

Leadership

Cross-functional coordination, stakeholder communication.

06

Technical Initiative

Git/GitHub, HTML/CSS/JS — building tools, not just using them.

Delivered work

SHP-001 Inventory Optimization

Reorder-Point Redesign

Redesigned reorder-point logic across three SKU categories based on a demand variability analysis allowing to reduce excess inventory by 18% without impacting the stockout rate.

View Case Study →
SHP-002 Process Redesign

Order Approval Process Redesign

Reworked & remapped a manual order approval process to an automated one, reducing average process time of 4 days to 1.5 days with no additional headcount.

View Case Study →
SHP-003 Data Dashboard

Self-Serve Reporting Dashboard

Designed and created a self-serve dashboard that combines disparate spreadsheet reporting into one live view, saving them 6 hours per week in the reporting preparation process..

View Case Study →

Let's connect

Open to supply chain analyst and operations roles, internships, and conversations about data-driven logistics. Reach out directly or through the form below.