Triana

Data Analyst & Operations Specialist | Data Modelling & Quality Control | Advanc

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Overview

Looking for full-time work (8 hours/day)

at $3.32/hour ($640.00/month)

Post-graduate degree (Masters, Doctorate, etc.)

Last Active

August 13th, 2026 (3 days ago)

Member Since

June 8th, 2020

Profile Description

I build reliable data frameworks and turn complex technical concepts into clear, structured workflows.

Backed by 7 years of managing structured academic operations and technical engineering curriculum, I specialize in data validation, operations quality control, and data modeling. I know exactly how to manage massive, high-stakes documentation pipelines where errors are not an option.

What I bring to your remote team:

- Data Infrastructure & Modeling: Engineering robust Excel and Google Sheets tracking models to prevent manual entries and formula breakage.
- Technical Data Processing: Writing Python and R scripts to clean, process, and validate large-scale data points, including geospatial analysis in Google Earth Engine.
- Operational Quality Auditing: Standardizing workflows to meet strict regulatory compliance guidelines, drawn from 7 years managing ISO 9001 documentation.
- Technical Translation: Explaining complex technical data systems to non-technical stakeholders or clients clearly and simply.

My Stack: Excel, Google Sheets, Python, R, Google Earth Engine, QGIS, ArcGIS.

If you need a data analyst who is deeply organized, processes records flawlessly, and requires zero hand-holding—let's talk.

Top Skills

Experience: 5 - 10 years

Experience: 5 - 10 years

Experience: 5 - 10 years

Other Skills

Experience: 5 - 10 years

Experience: Less than 6 months

Experience: 5 - 10 years

I've been doing data analysis in some form since my undergraduate thesis in 2016 - roughly 9-10 years, though the intensity has varied. During my BS thesis, I did early-stage data collection and validation work. Throughout my seven years as a university instructor (2017-2024), I worked with data at a light-to-moderate level - academic records, documentation, and structured reporting requiring accuracy and consistency. During my Master's (completed 2026), I moved into heavy, sustained analysis: cleaning and processing 25 years of satellite time-series data (11,320+ records across 270 sites), applying statistical methods and unsupervised machine learning (clustering, PCA) to find patterns invisible in raw summary numbers, and validating results through deliberate stress-testing. That thesis work is the deepest, most technical analysis I've done, and it's shaped how I approach every dataset since - clean it thoroughly, question the obvious answer, and validate before trusting a conclusion.

Experience: Less than 6 months

Used extensively during Master's thesis for statistical analysis, data cleaning, and unsupervised machine learning models.

Experience: Less than 6 months

Experience: Less than 6 months

Applied for spatial data extraction, processing, and visualization across large-scale datasets during graduate research.

Experience: Less than 6 months

Experience: 6 months - 1 year

Applied for spatial data extraction, processing, and visualization across large-scale datasets during graduate research.

Basic Information

Age
30
Gender
Female
Website
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Address
Tests Taken
IQ
Score:  116
DISC
Dominance: 36
Influence: 3
Steadiness: 21
Compliance: 40
English
C1(Advanced)
Government ID
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