Aditya ManojAM
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I mean business.

Low-poly portrait of Aditya Manoj
hey, that’s me.

I’m an AI & Data Science undergraduate in Mumbai. I build, analyse, compete, research and lead, with football and house music never far away.

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The short version

I’m an AI and Data Science student. I use technology, analytics and AI to solve business, financial and operational problems.

I turn messy data into decisions. I build AI systems, compete in case competitions, write research papers and lead teams. When I’m not doing that, I’m into football, house music and Mumbai. Everything below is my proof.

I build.Technical systems, AI products and analytical platforms.
I analyse.Data, markets, operations, behaviour and business problems.
I compete.Case competitions, hackathons and strategy challenges.
I research.AI, multi-agent systems and decision making.
I lead.Teams, projects, partnerships and community initiatives.
I keep learning.Through projects, research, competitions and experiments.

Where I learnedThree stops, newest first. Each one added a hat.

How I playFive positions. Pick one and I’ll show you the proof.

Attacking direction →

What I builtHover for a peek. Open a row to see how it works.

Where I competeI’ve reached 15+ national finals.

3rd Runner-Up, Vista, IIM Bangalore

Private Equity & Investment Strategy.

I’ve been a national finalist in 15+ case competitions, at events hosted by IITs, IIMs including IIM Indore, FMS Delhi and other premier institutes. I’ve also been a Startup Pitch Finalist and Best Delegate at the E-Summit Somaiya MUN.

Structured problem solving

I frame the question, size it, then recommend.

Market and financial thinking

I work the market and the money under a clock.

Presentation and storytelling

I turn it into a deck and defend it live with my team.

Casebooks

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What I’m askingTwo papers I wrote, both under review.

Automated Mediation in Group Decision-Making: An Incentive-Aligned Coordination Framework

Under reviewGroup decision making · AI coordination

Horizon Capital: A Multi-Agent Autonomous Trading System

Under reviewMulti-agent systems · Autonomous trading

What I research: multi-agent systems, financial technology, autonomous decision making, group decision making, AI coordination and decision intelligence.

What I writeFresh from my Substack. This list updates by itself.

All posts on Substack ↗

The scoreboardNumbers I can stand behind.

My toolboxWhat I use, and what I’ve learned.

Stack

Languages
Python, SQL, Java, JavaScript, TypeScript, C, C++, Scala, HTML, CSS
Data and BI
Power BI, Tableau, Excel, Power Query, Pandas, NumPy, Scikit-learn
Big data
Hadoop, HDFS, Hive, Spark, PySpark, Spark SQL, MapReduce, Kafka, Sqoop
Databases
PostgreSQL, MySQL, Supabase, Firebase
AI
Machine learning, deep learning, LLMs, NLP, RAG, LangChain, Gemini API, OpenAI API, multi-agent AI, GANs, VAE, Flan-T5
Build and automate
React.js, Tailwind CSS, Flask, REST APIs, n8n, Docker, GCP, Vercel, Git, Postman
Business analysis
Requirements, process mapping, as-is / to-be, gap analysis, business rules, traceability, test cases

Certifications and programs

  • McKinsey Forward Program (2025)
  • Google Data Analytics Professional Certificate
  • Google Project Management Professional Certificate
  • Foundations of Business Analysis, SAP
  • Corporate Finance Essentials, IESE Business School
  • AI Infrastructure and Operations Fundamentals, NVIDIA
  • GitHub Foundations
  • AI for Everyone, DeepLearning.AI
  • Oracle Cloud and AI Specialization

Let’s talk.