K/GKritin GaneshGet in touch
Abstract network of connected data flowing through layered analytical systems
DATA SCIENCE / SOFTWARE / ECONOMICS

From complex data.
To clear decisions.

I’m Kritin, a Data Science and Economics student at Rutgers University’s Honors College. I build machine-learning pipelines, analytical tools, and software that help people make sense of complex information.

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

Built to make
complexity useful.

Projects exploring operational planning, procurement analytics, and access to community resources.

01 / COMMUNITY RESOURCE ACCESSIBILITY

AccessMap↗

See where community services fall short.

Mapped 100+ community resources using public service directories and U.S. Census data. A geospatial pipeline measures each census tract’s distance to its three nearest services, identifying 12 underserved tracts. An interactive dashboard lets users explore access gaps across three service filters.

100+community resources
12underserved tracts
3service filters
Python / GeoPandas / Pandas / Streamlit
ACCESSMAP / SYSTEM ARCHITECTURE+ + +
Directories
Census data
Resources
GEOSPATIAL PIPELINEGeoPandasTract distances to nearest services
Community access gaps
CONCEPTUAL ARCHITECTURE PUBLIC DATA
02 / MISSION READINESS PLATFORM

Sentinel↗

Turn connected records into clearer operational decisions.

Integrated 1,000+ simulated personnel, equipment, and inventory records into a relational data model. Linked assets, maintenance logs, supplies, and missions, then built a scoring engine to identify availability and supply constraints across 50 simulated scenarios.

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

AeroCost↗

Make supplier dependencies and procurement risks visible.

Connected 100+ components, 25+ suppliers, and 500+ procurement records to trace dependencies. Built data validation, role-based access, audit logging, and 20 automated tests into the platform. Across 20 simulated test scenarios, supplier-risk review time fell from 12 minutes to under three.

500+procurement records
20automated tests
20simulated test scenarios
FastAPI / PostgreSQL / Pandas / Scikit-learn / Docker
AEROCOST / SYSTEM ARCHITECTURE+ + +
Components
Suppliers
Contracts
SHARED DATA MODELPostgreSQLConnected entities & relationships
Supplier risk
CONCEPTUAL ARCHITECTURE SIMULATED DATA

Sentinel and AeroCost use simulated data. Results describe project test scenarios, not production or client outcomes.

Abstract analytical landscape connecting text analysis, relational systems, and community mapping
Applied machine learning. Connected systems. Useful decisions.FROM INFORMATION TO INSIGHT
02 / EXPERIENCE

Analysis.
Execution. Ownership.

AUG 2026 — PRESENT

Marsh

AI/ML Project Fellow

Built an NLP pipeline to extract accident-involved objects from 10,000 CPSC/NEISS injury narratives, turning free-text reports into structured data for injury analysis. Evaluated example narratives to diagnose extraction errors and worked with Marsh advisors to test the approach on anonymized workers’ compensation descriptions.

Natural language processing · Structured injury data
JUN 2026 — PRESENT

Break Through Tech at Cornell Tech

AI/ML Fellow

Selected from 3,000+ applicants for a fellowship featuring machine-learning training from Cornell Tech faculty. Trained an Amazon book-review sentiment classifier using TF-IDF and logistic regression, achieving 0.87 ROC-AUC. Built scikit-learn preprocessing pipelines and compared candidate models through cross-validation.

TF-IDF · Logistic regression · 0.87 ROC-AUC
MAY — AUG 2025

Atlas Quantitative Research Group

Data Science Intern

Developed econometric pipelines in Statsmodels to analyze sector revenue cycles and generate short-term forecasts. Derived financial and macroeconomic features and redesigned SQL schemas connecting FRED data, SEC filings, and transaction logs.

Python · Statsmodels · Financial analysis · SQL
JUN — JUL 2024

Sai CPA Services

Financial Analysis Intern

Supported tax filings, payroll, and compliance work for 10 individual and small-business clients. Reconciled 20 accounts payable records in QuickBooks and organized audit-ready documentation. Contributed to small-business marketing and social media strategy.

QuickBooks · Reconciliation · Client documentation
JUL 2021 — PRESENT

KickzwKrit

Founder

Built a sneaker and apparel resale business generating $100K+ in revenue and $25K+ in profit, managing sourcing for 50+ clients. Wrote Python and Java inventory and pricing monitors that supported 100+ checkouts for paid resale-group members.

Entrepreneurship · Python · Java · 50+ clients
SEP 2021 — JUN 2025
LEADERSHIP

Future Business Leaders of America

Chapter President

Led a chapter of 300+ members across business competitions, community events, and financial literacy lessons for fourth and fifth graders. Helped raise $6,000+ for charity and grew membership from 247 to 305.

300+ members · $6,000+ raised for charity
03 / BACKGROUND

Technical depth.
Economic perspective.

I’m pursuing a B.S. in Data Science and a B.A. in Economics, with a minor in Mathematics, at Rutgers University–New Brunswick’s Honors College. My work spans applied machine learning, software development, financial analysis, and entrepreneurship.

I enjoy taking a problem from messy inputs to a useful tool—whether that means extracting information from text, connecting operational records, or mapping access to community services. I’m interested in opportunities across data science, analytics, and software engineering.

Download résumé
EDUCATION / EXPECTED MAY 2028

Rutgers University

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

Honors College · Expected May 2028
SEEDS · Data Science Club · ML/AI Division · Rutgers Economics Society

CORE TOOLKIT

Python · Java · C/C++ · SQL · JavaScript · HTML/CSS · R
FastAPI · React · Scikit-learn · Pandas · NumPy
Statsmodels · Matplotlib · Docker · Streamlit

CERTIFICATIONS

Oracle Certified Associate, Java SE 8 Programmer
Java Certified Foundations Associate