K/GKritin GaneshGet in touch
Unmanned reconnaissance aircraft on an airfield
DATA SCIENCE / SOFTWARE / DEFENSE

From complex data.
To clear decisions.

I’m Kritin. I build data and software systems for complex operational problems. I’m pursuing a career in defense technology.

Explore my work
RUTGERS UNIVERSITY · HONORS COLLEGEUNMANNED SYSTEMS
THE APPROACH 01 — 04
01DataConnect the inputs
02ModelsUnderstand the signal
03SystemsBuild the tools
04DecisionsEnable action
01 / SELECTED WORK

Built to make
complexity useful.

Independent software projects exploring mission readiness, aerospace procurement, and operational decision-making.

01 / MISSION READINESS & LOGISTICS

Sentinel↗

A common operating picture for complex missions.

Unified personnel, equipment, maintenance, inventory, and mission data into a relational readiness model. A rules-based engine evaluates availability, condition, supply, and transportation constraints.

1,000+simulated records
50mission scenarios
Python / FastAPI / PostgreSQL / React / Docker
SENTINEL / SYSTEM ARCHITECTURE+ + +
Personnel
Equipment
Inventory
SHARED DATA MODELPostgreSQLConnected entities & relationships
Mission readiness
CONCEPTUAL ARCHITECTURE SIMULATED DATA
02 / AEROSPACE PROCUREMENT INTELLIGENCE

AeroCost↗

Make supply-chain dependencies visible.

Connected components, suppliers, contracts, pricing, and delivery data in a simulated aerospace supply chain. Built data validation, role-based access, audit logging, and automated tests into the platform.

500+procurement records
<3 minsimulated risk review¹
FastAPI / PostgreSQL / Pandas / Scikit-learn / Docker
AEROCOST / SYSTEM ARCHITECTURE+ + +
Components
Suppliers
Contracts
SHARED DATA MODELPostgreSQLConnected entities & relationships
Supplier risk
CONCEPTUAL ARCHITECTURE SIMULATED DATA

¹ AeroCost: review time reduced from 12 minutes to under 3 minutes across 20 simulated test scenarios.

Unmanned aircraft and maintenance equipment inside an aerospace hangar
Defense technology. Aerospace systems. Operational readiness.AREAS OF INTEREST
02 / EXPERIENCE

Analysis.
Execution. Ownership.

JUN — AUG 2026

Break Through Tech at Cornell Tech

AI/ML Fellow

Built end-to-end machine-learning pipelines and a sentiment classifier for Amazon book reviews using TF-IDF and logistic regression.

0.87 ROC-AUC on a held-out test set
MAY — AUG 2025

Atlas Quantitative Research Group

Data Science Intern

Developed econometric forecasting pipelines for sector revenue cycles and labor-market sensitivity. Consolidated financial, macroeconomic, and alternative data with optimized SQL schemas.

Python · Statsmodels · Scikit-learn · SQL
JUL 2021 — PRESENT

KickzwKrit

Founder / Entrepreneur

Built and operated a sneaker and limited-apparel arbitrage business, including inventory, pricing, and order-workflow tools in Python and Java.

$80,000+ revenue · 300+ transactions · 50+ clients
03 / BACKGROUND

Technical depth.
Economic perspective.

I study Data Science and Economics at Rutgers University–New Brunswick’s Honors College, with a minor in Mathematics. My work spans applied machine learning, relational data systems, and the economics of real-world decisions.

I want to bring that foundation to defense: building dependable software for mission readiness, logistics, and aerospace supply chains.

Download résumé
EDUCATION / EXPECTED MAY 2028

Rutgers University

B.S. Data Science, Economics Track
B.A. Economics · Mathematics Minor

CORE TOOLKIT

Python · SQL · Java · JavaScript · R · C/C++
FastAPI · React · Pandas · Scikit-learn
PostgreSQL · NumPy · Statsmodels

RECOGNITION

Oracle Certified Associate, Java SE 8 Programmer
NJ FBLA Scholarship Competition — 1st Place