Alvaro Althaaf Viery

Alvaro Althaaf Viery

Data Analyst

How I work, in one glance.

Alvaro Althaaf Viery

Data analyst who keeps things simple: clear questions, clean logic, and results teams can act on. I turn messy datasets into insights, automate reporting, and build dashboards people actually use.

const focus = ["Python", "SQL", "Visualization"];

Currently: polishing this portfolio and shipping small improvements.

From the floor to the spreadsheet.

Oct 2024 – Oct 2025

Digitalization & Technology

PPI Dunia · Jakarta / International

Collaborated on digital solutions and technology-driven student initiatives across international chapters.

Oct 2023 – Jun 2024

Point of Sale Associate

Big Boss HSP · Kuala Lumpur, Malaysia

Managed daily transactions, cash flow, and team operations. Optimized restaurant floor efficiency across busy service shifts.

Jul 2023 – Oct 2023

Logistics

Instellar 2023 · Kuala Lumpur, Malaysia

Organized event site planning, infrastructure layout, power distribution, lighting, and sound configuration.

Jan 2021 – Jun 2021

Founder & Owner

Kopi Koploe · Jakarta, Indonesia

Built a coffee business from scratch — budgeting, pricing strategy, market research, and daily operations.

The stack behind the work.

Data & code

Analysis, scripting, and pipelines

  • Python
  • SQL
  • R
  • JavaScript
  • Pandas
  • NumPy
  • Scikit-learn
  • ETL pipelines
Visualization

Dashboards, charts, and experiments

  • Tableau
  • Power BI
  • Excel
  • Matplotlib
  • Seaborn
  • Statistics
  • A/B testing
Data platforms

Storage, modeling, and version control

  • PostgreSQL
  • BigQuery
  • Git
  • Data modeling
Beyond the spreadsheet

Leadership and operations from the field

  • Leadership
  • Operations
  • Strategic planning
  • Market research

Every build starts with a question.

Music Evolution & Streaming

Did streaming quietly rewrite how songs are built?

The spark

Playlists reward hooks early and outros late — I wanted evidence, not opinion, across decades of releases.

The build

A multi-method study comparing structure, tempo, and density before and after the streaming era — Jupyter notebooks, Python, and statistical tests tied together.

The takeaway

Patterns emerge in the data: composition did shift. The repo is the full trail from question to charts.

Vocal Pitch Analyzer

What if you could see your voice stabilise in real time?

The spark

Singers and speakers feel pitch drift — I wanted a tool that listens, tracks, and reflects it back instantly.

The build

A modular DSP pipeline: autocorrelation for frequency, multi-threaded capture, and live analytics that stay smooth under load.

The takeaway

Practice becomes visual. Open the repo to follow the signal path from microphone to on-screen pitch.

HR Analytics Pipeline

People data shouldn't live in scattered spreadsheets.

The spark

HR teams need one place to load records, explore trends, and ask “what if we adjust compensation?” without re-exporting CSVs.

The build

A Python GUI with persistent storage, modular pipelines, and predictive salary modeling — built so non-coders can still run analyses.

The takeaway

From ingest to forecast in one flow. The repository documents each layer of the pipeline.

NLP Text Analyzer

Drop a document in — leave with sentiment, structure, and the words that matter.

The spark

Long PDFs and Word files hide tone and repetition. I wanted a desktop lab that reads them locally, no cloud upload required.

The build

Upload support, a local sentiment model, and rich frequency metrics — word counts, sentence rhythm, and patterns surfaced in one dashboard.

The takeaway

Text becomes legible at a glance. Follow the repo to see how each metric is computed.

Champions League Simulator

What happens when tournament logic meets betting odds and a little AI commentary?

The spark

I wanted to replay knockout drama in software — brackets, stakes, and outcomes you could tweak and watch unfold.

The build

A GUI simulator with SQLite persistence, threaded runs, betting mechanics, and DeepSeek woven in for narrative flair between matches.

The takeaway

Each season is a story you can rerun. The code shows how probability, UI, and data storage stay in sync.

Nexus — Unified Booking

One room, many calendars — booking without the back-and-forth.

The spark

Shared resources double-book too easily. Teams need conflict checks, weather context, and channels people already use.

The build

FastAPI at the core, a Telegram bot for users, and a multi-threaded admin desktop — automated detection when two requests collide.

The takeaway

Booking becomes infrastructure, not inbox chaos. Explore the repo for API, bot, and dashboard pieces.

Numerical Showdown

Which root-finding method wins — and can you watch it converge live?

The spark

Bisection, Newton, Secant, Fixed-Point — textbooks describe them; I wanted a arena that races them side by side.

The build

An interactive dashboard plotting convergence paths and timing each algorithm on the same function — built from scratch in Python.

The takeaway

Trade-offs become obvious when you see the curves. The repository is the full benchmark playground.

Inbox open varoviery@gmail.com
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