What I'm Building

Sep 2023 – Nov 2023

A collaboratively built native hospital app for booking appointments, with real-time patient data sync and secure access for staff and patients.

• Developed in Java with the Android SDK to manage appointments and surface live patient updates via Firebase Realtime Database.
• Implemented authentication and role-aware access so patients and providers securely view and update visit details.
• Built CircleCI pipelines and automated tests to keep releases stable, with sprint tracking and issue workflows in Jira.

Tools

Java

Android Studio

Firebase Realtime DB

CircleCI

Jira

Sep 2022 – Dec 2022

A collaboratively built social hub for Spotify listeners to discover users with similar music taste and jump into shared playlists together.

• Collaborated on the end-to-end build so listeners could match with others who share their top artists and tracks.
• Designed a clean, approachable UI that keeps the focus on music discovery and quick connections.
• Refactored shared components and styling utilities to keep the codebase reusable, efficient, and easy to maintain.

Tools

HTML5

CSS3

JavaScript

Spotify integrations

Nov 2025 – Present

Auditor-facing pipeline that scores and surfaces risky general ledger journal entries, pairing anomaly detection with explainable risk factors (full report coming soon).

• Engineers journal-entry features (amount spikes, period-end timing, user frequency, approvals) and standardizes them into a model-ready dataset.
• Runs scikit-learn anomaly detection (Isolation Forest + Local Outlier Factor) to flag high-risk postings and label them with interpretable drivers.
• Exports risk tiers and supporting evidence to CSV/SQLite so auditors can triage entries quickly and trace decisions.

Tools

Python

Pandas

Power BI + DAX

SQLite

Nov 2025 – Dec 2025

Exploratory analysis of Spotify listening history to surface top artists, session patterns, and audio-feature trends, pairing export data with API lookups and reproducible notebooks.

• Aggregated raw Spotify streaming exports and enriched tracks with API audio features (energy, danceability, tempo) to create a unified plays dataset.
• Profiled listening habits by hour, weekday, and device to flag high-engagement windows and shifts in genre/artist mix over time.
• Built visual reports (heatmaps, feature distributions, cumulative play curves) and documented insights in notebooks for repeatable reruns.

Tools

Python

NumPy

NumPy

Pandas

Matplotlib

MATLAB

MATLAB

Jupyter

Spotify APIs

Dec 2025

An executive-ready dashboard for telecom ops leaders that surfaced network health, ticket velocity, and outage hotspots.

• Modeled KPIs with DAX and built drill-through views for regional and device-level insights.
• Automated refresh pipelines so reports stayed current without manual exports.
• Packaged findings into a one-page briefing that accelerated weekly decision meetings.

Tools

Power BI + DAX

Azure Pipelines

SQL Views

Dec 2024 – Jan 2025

Valorant event analysis pipeline that pulls raw match data from VLR, shapes it into agent- and match-level CSVs, and surfaces composition and regional insights (full report coming soon).

• Pulls VLR events via vlrdevapi (e.g., Champions 2024) and turns them into agent- and match-level datasets so raw pages become structured rows you can analyze.
• Builds per-team composition summaries for every match and map, then highlights the most common comps to spot meta trends quickly.
• Rolls up region-by-region stats showing which agents and compositions get picked and how often they win, making it easy to compare regions at a glance.

Tools

Python

Pandas

vlrdevapi

SQLite