Kate Le

README.md

Data-driven student with experience across AI research, financial modeling, and tech consulting. I like building clear dashboards, solid models, and decision-ready insights.

Quick summary

Incoming junior at Boston University pursuing a B.S. in Mathematics (GPA 3.7, Dean's List). Across internships in data science, financial analysis, and product management, I've built predictive models, dashboards, and forecasts using Python, SQL, Tableau, and Power BI — from real-estate valuation with XGBoost/LSTM to stock and portfolio risk analysis.

What I care about

Turning messy data into simple signals, and turning signals into decisions people can act on — then communicating those insights clearly to the people who need them.

Education

B.S. Mathematics & Statistics, Boston University (Jan 2026 – May 2028). Previously B.B.A. Business Statistics, UMass Boston Honors College (Aug 2023 – Dec 2025).

Certifications

Accounting Foundations, Mastering Key Financial Ratios, Storytelling to Influence Leadership, Excel VLOOKUP/XLOOKUP, Introduction to AI.

def programming():

Python SQL Java JavaScript C++

class visualization:

Power BI Tableau Excel

import machine_learning:

Pandas Scikit-learn TensorFlow Jupyter

sudo cloud_tools:

AWS GCP Git

with open("finance.txt"):

Full Cycle Accounting Accruals QuickBooks NetSuite / Odoo

Experience

Highlights with outcomes and tools used.

Finance Intern • Massachusetts Health ConnectorMay 2026 – Present

Currently supporting finance operations at Massachusetts' health insurance marketplace. More details to come as the internship progresses.

Current Finance

Data Entry Assistant • Boston UniversityJan 2026 – Present

Help 1,000+ scholars get set up in ORCID and connected to their BU content, and work with BU Profiles — a system used by Harvard, UCSF, and Penn State to connect internal and external parties with BU researchers. Validate and curate data, build and organize profiles across both systems, and assist with audit/usage reporting.

Current Data curation Process improvement

Financial Analyst Intern • Nunchi HealthNov 2025 – Jan 2026

Conducted financial analysis and light due diligence on reimbursement requests and vendor payments, improved reimbursement speed while maintaining policy-aligned compliance, and ran ongoing reconciliations and nonprofit-standard bookkeeping in QuickBooks. Prepared quarterly financial reports and variance analysis for the Board using Looker Studio.

25% faster reimbursements 30% fewer discrepancies 40% more Board adoption

Data Scientist Intern • IDX ExchangeSep 2025 – Dec 2025

Automated financial data pipelines in Python, cutting manual reporting time and improving reporting efficiency for investment performance metrics across $435M+ in real estate portfolios. Built XGBoost/LSTM forecasting models to predict property valuations (target R² > 0.80, MAPE < 20%), and analyzed 40+ financial datasets to reduce portfolio risk exposure and optimize capital allocation.

60% less manual reporting XGBoost / LSTM 12% lower risk exposure

Project Management Intern • Kigumi GroupJul 2025 – Sep 2025

Conducted market research across 150+ schools and 3,000+ students to sharpen an AI-ethics strategy, developed 10+ learning modules for adolescent learners, and designed an app wireframe for a parental digital-guidance product.

40% more content relevance 70%+ completion rate 25% more engagement

AI Researcher Fellow • AlgoverseJun 2025 – Sep 2025

Engineered CNN models reaching 90% diagnostic accuracy across 214 clinical scenarios, with a paper accepted to NeurIPS 2025's GenAI4Health and Multi-Turn LLM workshops. Reduced model bias through demographic analysis and Chi-square testing across 8 categories.

90% diagnostic accuracy TensorFlow / CNNs 35% less bias

Financial Analyst Intern • Congero Technology GroupJun 2025 – Jul 2025

Built dynamic Excel dashboards with automated KPI reporting for leadership, improved forecast accuracy through SQL-based variance analysis, and streamlined billing workflows via Oracle NetSuite and Odoo ERP automation — cutting processing time from 5 days to 2 hours.

30% more KPI visibility 18% forecast accuracy $30K+ saved annually

Peer Tutor & Food Service Specialist • UMass Boston Honors CollegeSep 2024 – Dec 2025

Delivered 100+ hours of one-on-one and group tutoring in Math, Economics, and Finance, while managing inventory and distributing food & hygiene items to 100+ students weekly as a Food Service Specialist.

100+ tutoring hours Community support

Repos

Featured projects with stack + links.

$ ./medicare_inpatient_hospital

Medicare inpatient analysis to identify trends and cost optimization opportunities.

Stack: Python • Pandas • SQL • Visualization

View Code

$ ./stock_price_direction

ML models for stock direction prediction. Open to collaboration.

Stack: Python • ML • Financial APIs

View Code

$ ./bank_loan_analysis

Bank loan default prediction with modeling + feature engineering for risk decisions.

Stack: Python • Scikit-learn • Risk modeling

View Code

$ ./idx_exchange_data_science

Forecasting pipeline built during the IDX Exchange internship — XGBoost/LSTM models predicting property valuations across real estate portfolios.

Stack: Python • XGBoost • LSTM • Pandas

View Code

Work Samples

Code, decks, and reports from internships. New cards appear here as more work gets added — see the  comment at the bottom of this section in the page source for how to add another.

Financial Analyst Intern • Nunchi Health

QuickBooks • Looker Studio

Report (PDF)

Download report

Data Scientist Intern • IDX Exchange

Python • ML • Forecasting

Code

Forecasting pipeline and full project repo:

Full repo

Presentation (PDF)

Download PDF

AI Researcher Fellow • Algoverse

TensorFlow • CNN pipelines • NeurIPS 2025

NeurIPS 2025 poster (PDF)

Download poster

Insights

Your published notes + a small form to add more (kept from your original).

NVIDIA's China Strategy: Geopolitical Risk vs Market Opportunity

Published: August 17, 2025 | Author: Kate Le

Wall Street Journal

Market Signal: NVIDIA receives approval to resume H20 AI chip sales to China after leadership engagement.

My Analysis: Strategic risk-reward is tricky under regulatory uncertainty and rising domestic competition. Diversification matters.

Retail Tariff Impact: Swedish Brand Exits US Market

Published: August 15, 2025 | Author: Kate Le

Wall Street Journal

Market Signal: Polarn O. Pyret exits US market due to tariff-driven cost pressure.

My Analysis: Mid-tier brands often lack pricing power for compounding tariff + FX pressure. Watch consolidation dynamics.

Publish New Insight

Add a market note and your take.

Resume

Add a PDF link later or keep the “request” flow for now.

If you want, I can also help you generate a one-page resume PDF + add a direct download link here.

Download Resume View GitHub View LinkedIn

Aspiring Strategist • Turning data into decisions

def programming():

class visualization:

import machine_learning:

sudo cloud_tools:

with open("finance.txt"):

$ ./medicare_inpatient_hospital

$ ./stock_price_direction

$ ./bank_loan_analysis

$ ./idx_exchange_data_science

Report (PDF)

Code

Presentation (PDF)

NeurIPS 2025 poster (PDF)

NVIDIA's China Strategy: Geopolitical Risk vs Market Opportunity

Retail Tariff Impact: Swedish Brand Exits US Market