Product Manager & Strategist

I turn complex
problems into
scalable products.

NYU grad student. Ex-Faclon Labs. I live at the intersection of data, product strategy, and execution — building systems that make decisions faster.

Aditya Singh
Open to opportunitiesNYC · Remote · Hybrid
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Aditya Singh portrait

“I design like a product manager who understands systems, not just visuals.”

— How I approach every problem

My Story

From code
to strategy

I started in computer science — writing code, building systems, learning how things work from the inside. Then I realized the hardest problems aren’t technical. They’re organizational, strategic, human.

At Faclon Labs, I owned an end-to-end inventory management system that improved supply-chain reliability by 20% — not as a developer, but as a product strategist who could speak both languages fluently.

Now at NYU pursuing my MS in Project Management (STEM), I’m sharpening the frameworks that turn ambiguity into architecture — and architecture into outcomes.

Product StrategyB2B SaaSData AnalyticsSupply ChainAgile / ScrumNLP & AI
Journey

Milestones that
shaped my thinking

🎓
2021 – 2024
BS Computer Science
KC College, Mumbai. CGPA 9.73. Built the technical foundation that powers everything I do.
🚀
2023 – 2024
First Product
Led the AI Placement System as Product Lead — shipped with a 4-person team across 3 Agile sprints.
2024 – 2025
Faclon Labs
Business Strategy Analyst at a funded IoT startup. Owned a supply-chain product end-to-end.
📊
2024 – 2025
Data Science Diploma
SDBI postgrad. CGPA 9.05. Deep dive into ML, NLP, and predictive modeling.
🏛
2025 – Now
NYU Master’s
MS Project Management (STEM), GPA 3.91. Building NexusIMS & SafePaste alongside coursework.
Systems I Build

Products, not just projects

Every system here started with a real problem, a structured discovery process, and a measurable outcome. Not demos — products with users, iterations, and impact.

Measurable Outcomes

Numbers that
tell the story

0%
Supply-chain reliability improvement at Faclon Labs
0%
Reduction in manual resume screening via NLP automation
0%
Improvement in cross-team milestone tracking
0%
Fewer ad-hoc reporting requests via self-serve dashboards
How I Work

My product
execution model

Every engagement follows the same rigorous pattern — from messy problem to measurable outcome.

01
Discovery
Understand the system
  • Stakeholder interviews
  • Root-cause analysis
  • Gap analysis & mapping
  • Market sizing (TAM/SAM)
02
Plan
Define the blueprint
  • PRD / BRD authorship
  • RICE prioritization
  • OKR & KPI definition
  • Roadmap sequencing
03
Execute
Ship incrementally
  • Agile sprint management
  • Cross-functional sync
  • UAT & defect resolution
  • Stakeholder alignment
04
Deliver
Measure & iterate
  • KPI dashboarding
  • User feedback loops
  • Post-launch iteration
  • Executive reporting
Technical Fluency

Tools of the trade

🐍 Python
🗃 SQL
📊 Power BI
📈 Tableau
⚛️ React
🔥 FastAPI
🐘 PostgreSQL
🍃 MongoDB
📋 Jira
ClickUp
🎨 Figma
☁️ AWS
🐳 Docker
🤖 NLP / ML
🔗 REST APIs
📦 GitHub
Redis
🧩 Agile / Scrum
Ready to Build

Have a problem
worth solving?

I’m actively exploring Product Manager, Business Analyst, and Data PM roles where I can bridge technical rigor with business impact. F-1 Visa · STEM OPT Eligible.