Hello

Lequisha
Nuestro

Business and Data Analysis

I took a company's talent site from 313 to about 2,792 live profiles in 9 days, and audited 5,000+ documents along the way.

Computer Engineering student at MapĂșa University with an AI specialization and over a year of paid remote work in research and data operations.

Education

BS Computer Engineering, MapĂșa University

AI specialization · Expected graduation April 2028

Coursework: Data Structures, OOP, Software Design, Operating Systems, and Applied AI.

Leadership: regular team lead for group projects across coursework.

Senior High School, With Honors, Pasay City Science High School

2022 to 2024

Experience

Research and Data Operations Specialist / Project Manager, Narrative Group

2025 to present

  • Built Talent Publisher, a Chrome extension and Python tool that took a company site from 313 to about 2,792 live talent profiles in 9 days, 86% over the 1,500 target.
  • Built a creator scraper and vetting method that got 29 of 31 photographers approved by one client (94%) and 12 creators booked or live for another.
  • Built Sponsor Tracker over 116 YouTube channels, producing 122 sponsor brands and 356 verified CRM contacts, plus 616 university contacts and 26 podcast replies from outreach.
  • Supported the CEO on 28 projects and tracked all 143 of my tasks in one logbook.
  • Wrote a 28-page strategy proposal for a global native ad platform on Reddit sentiment and competitor activity, and the client signed the campaign.

Portfolio Analyst / Audit Contractor, Beagle

2025 to 2026

  • Audited 5,000+ legal and insurance documents for accuracy and source verification.
  • Ranked in the top 5 of 250+ international contractors for speed and precision.
  • Spotted recurring inconsistencies and turned them into a review checklist that made audits more consistent.

Digital Performance Analyst, Bro Media

2024

  • Tracked daily CPC and spend on native ad platforms and recommended budget changes.
  • Localized and verified high-volume campaign data across 15+ languages.

Market and Competitor Research Consultant, Freelance

2020 to present

Researches products and competitors for international clients and wrote a lead generation playbook for a client.

Case studies

Projects

Heart Disease Prediction Model

Applied AI course · Python, pandas, scikit-learn

Cleaned and audited a 303-patient clinical dataset, then tuned a logistic regression model that caught 96.4% of heart disease cases with 86.9% accuracy against a 54.1% baseline, and grouped patients with K-Means.

Course Compass

Emerging Technologies course · FastAPI, ChromaDB, Ollama

Built a RAG web app that recommends college courses from a student's strand, grades, and goals by searching CHED and DepEd documents with a local language model.

Factory Sound Alert Wearable

AI4A Hackathon · ESP32-S3, Azure

Built a wearable that turns factory sounds into vibration alerts for deaf operators, with TinyML models trained in Azure Machine Learning that run on the device offline.

Working, features being added

OLJRadarBot

Personal project · Telegram bot

A job alert bot that watches OnlineJobs.ph for new postings, filters them with keyword lists I control, sends alerts to Telegram, and prepares application drafts. It already works, and I keep adding features.

Tools I built at work

More than 20 free tools and automations, with no paid APIs

  • IGTTYT Tool: scrapes and verifies creators on three platforms in one list.
  • Sponsor Tracker: lists the brands sponsoring 116 YouTube channels each week.
  • Gmail Studio: creates bulk personalized Gmail drafts.
  • Inbox Tracking: prepares daily reply drafts and sorts the inbox by urgency.
  • Work Logbook: tracks every task, with an Impact tab for results.

Flower Image Classifier

Applied AI course · PyTorch, torchvision

Fine-tuned and compared ResNet50 and MobileNetV3 on 2,744 flower images in 5 classes, recommending MobileNetV3 at 92.72% test accuracy while being 5.5x smaller and faster per image.

ChallengeHub Activity Tracker

Software Design course · Python, pytest

Designed and built the activity logging feature of a wellness challenge app with the Strategy pattern, input checks, and atomic saves, and fixed a save-order bug, passing all 18 tests.

Tools

Data and analysis

  • Excel (VBA)
  • Google Sheets
  • SQL
  • Python
  • JavaScript
  • Power BI
  • Tableau

Business

  • PowerPoint

Platforms and AI tools

  • Airtable
  • monday.com CRM
  • Lusha
  • WordPress
  • ChatGPT
  • Claude
  • Gemini
  • Ollama
  • Qwen
  • DeepSeek

Also: market and competitor analysis, report writing, process documentation, data validation, and KPI tracking.

About me

I like building things that make repetitive work easier, and I take apart and rebuild plenty of other things too.

Some extra facts

Things I love:

  • Traveling, and anything Japan.
  • Kingdom Hearts.
  • Makeup and glitter.
  • 12 Gundam kits and 8 LEGO sets so far, and counting.
  • Favorite Gundam: Schwarzette.
  • A small Back to the Future LEGO set in my collection.

Recently, I've been:

  • Finding more things to buy on Chinese sites.
  • Getting into robotics.
Me as a kid, working on a laptop
Me, back then
Me now, out sledding at night
Me, now

Contact

The quickest ways to reach me are email and WhatsApp.