KCKyle Chin LeeLet's talk

Open to Fall 2026 internships

Curious by nature.
Rigorous by practice.

I'm Kyle, a Mathematics and Computer Science student at Iona University learning to turn messy data into clear, defensible conclusions.

Explore my work View résumé
Python pandas NumPy SQL Matplotlib pytest Statistics Excel Python pandas NumPy SQL Matplotlib pytest Statistics Excel

01 / Featured work

One project, shown properly.

I wanted to do more than produce a chart. This project shows the full path from raw public data to tested code, findings, and honest limitations.

Python · Data analysis · 2026

NYC 311 Service Request Analyzer

View code on GitHub View data source

The question

What can a carefully selected month of NYC service requests reveal about demand, resolution time, and unusual daily activity?

18.75hmedian resolution time
39.18%submitted online
1day flagged for review
Line chart of daily NYC 311 requests in the January 2025 sample, with January 7 flagged as an anomaly
Daily volumeJanuary 7 was the only day to cross the absolute z-score threshold of 2. That is a prompt to investigate—not proof of an unusual event.
01

Collected

Built a reproducible January 2025 sample from NYC Open Data instead of relying on a pre-cleaned classroom dataset.

02

Cleaned

Standardized columns, parsed dates, handled missing values, and rejected impossible resolution times.

03

Analyzed

Compared complaint types, boroughs, channels, agencies, resolution times, and daily volume.

04

Tested

Wrote 11 tests covering the analysis functions, cleaning rules, calculations, and edge cases.

Horizontal bar chart showing the most common complaint types in the sample
DemandHeat and hot water was the largest complaint group, followed closely by residential noise.
Scatter plot comparing agency request counts with median resolution time
Service timeWorkload and median resolution time differed sharply by agency, but the sample cannot establish causation.

What makes the result credible

The 708-row starting sample was systematic, not random, so I do not present it as the full month or as proof about all 311 activity. After cleaning, 707 valid requests remained. The analysis code, visualizations, and test suite are separated by responsibility.

PythonpandasMatplotlibpytestCSV

02 / Profile

Building range without losing focus.

My goal is to become the kind of analyst who can understand the mathematics, write reliable code, and explain the result in plain language.

I'm pursuing a double major in Mathematics and Computer Science at Iona University.

I'm still early in my technical career, so I focus on fundamentals: asking a specific question, checking my assumptions, testing my code, and being clear about what the data cannot prove.

Competitive water polo shaped how I work. Training as a Division I athlete—and previously captaining Trinidad and Tobago's U18 men's team—taught me consistency, composure, and how to contribute to a demanding team.

NowIona University

Mathematics BS + Computer Science BA

2025 — Present
ExperienceSinceres Manufacturing

Data Analyst · Trinidad and Tobago

Before IonaFatima College

CSEC and CAPE examinations

2022 — 2025

Used in projects

Python · pandas · NumPy · Matplotlib · pytest · CSV

Analytical foundation

Statistics · Regression · Data cleaning · Excel · SQL

How I work

Curious · Consistent · Coachable · Team-oriented

03 / Contact

Have a problem worth investigating?

I'm looking for Fall 2026 opportunities in data science, analytics, software, and quantitative problem solving.