Resume

Data Scientist & Statistician

AJ Jhones S. Lacubtan

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Professional Summary

Data Scientist and Statistician with experience delivering analytics solutions across retail, QSR, banking, academic research, and industry consulting. Skilled in translating raw data and complex business problems into client-facing metrics, dashboards, and actionable insights. Experienced in computer vision analytics, data integrity testing, predictive modeling, market analytics, experimental design, and statistical validation. Co-founder of Stat IQ, where I support clients in designing rigorous research methodologies and interpreting results for decision-making. Proficient in Python, R, SQL, and dashboarding tools, with a strong focus on analytical rigor, business relevance, and clear stakeholder communication.

Experience

Data Scientist

meldCX Philippines Inc. (Cagayan de Oro City, Philippines) | July 2025 - Present

  • Delivered actionable insights for retail, QSR, and banking clients using analytics from computer vision-based products and solutions.
  • Defined client-facing metrics and designed dashboards aligned with business objectives, operational priorities, and reporting needs.
  • Translated raw computer vision events into structured analytics outputs for client reporting and insight generation.
  • Led data integrity checks, KPI validation, and testing to ensure dashboard accuracy, consistency, and production readiness.
  • Collaborated with product and engineering teams to identify analytics requirements, investigate data issues, and improve insight delivery.

Co-Founder | Statistician

Stat IQ (Remote) | June 2024 - Present

  • Support academic research and industry projects by guiding clients through experiment design, hypothesis formulation, statistical test selection, data collection protocols, survey design, sampling strategies, and validation studies.
  • Translate research questions into statistically rigorous frameworks suited for peer or stakeholder review, including studies related to compensation, engagement, market behavior, and pricing.

Data Science Consultant

Unilab Inc. (Remote) | September 2024 - December 2024

  • Conducted a market segmentation study using K-means clustering and supply-demand analysis to optimize product positioning.
  • Designed and deployed a stakeholder-facing dashboard to support distribution and sales teams.
  • Communicated findings through business presentations, driving alignment between analytics insights and strategic planning.

Data Science Intern

Premier Research Institute of Science and Mathematics, MSU-IIT (Iligan City, Philippines) | June 2022 - June 2023

  • Co-developed a web-based recommender tool for student profiling and academic placement.
  • Trained supervised models using scikit-learn and neural networks for behavioral predictions.
  • Handled model validation and deployment pipeline setup for real-time recommendation.

Education

Master of Science in StatisticsMindanao State University - Iligan Institute of TechnologyAugust 2023 - June 2025
Bachelor of Science in StatisticsMindanao State University - Iligan Institute of TechnologyAugust 2019 - July 2023

Selected Projects

AD-GEnKS Adaptive MCMC

R, Bayesian modeling, adaptive MCMC, spatiotemporal forecasting

  • Implemented adaptive MCMC workflows for Bayesian dynamic spatiotemporal models.
  • Supported probabilistic forecasting of solar radiation fields using advection-diffusion motivated model structure.
  • Developed research code connected to my MS Statistics thesis work on short-term solar radiation forecasting.

Philippine COVID-19 Vaccine Sentiment Analysis

Python, LSTM, Bidirectional LSTM, CNN-LSTM, CNN, Word2Vec, Label Studio | June 2023 - August 2023

  • Developed deep learning sentiment analysis models to classify sentiments in tweets and Reddit posts related to COVID-19 vaccines in the Philippines.
  • Collected and labeled data from Twitter and Reddit using scraping tools and Label Studio.
  • Applied Word2Vec for feature extraction using a pre-trained model from the Filipino Word Embeddings repository.
  • Built a reproducible pipeline for preprocessing, model training, and evaluation.

Skills

  • Programming Languages:
    Python R Julia SQL
  • Visualization & Dashboards:
    Jupyter matplotlib Plotly Power BI Streamlit Quarto ggplot2 Taipy
  • Web & Backend Technologies:
    Flask HTML CSS JavaScript
  • Database Systems:
    MySQL PostgreSQL SQLite MongoDB TimescaleDB Snowflake
  • Cloud & DevOps Tools:
    AWS Azure Git GitHub Docker MLflow Paperspace
  • Specialized Tools:
    VS Code LaTeX Label Studio Microsoft Excel
  • Data Science & Analytics: Predictive modeling, time series forecasting, spatial analysis, clustering and segmentation, statistical inference, financial analytics, data wrangling
  • Business Intelligence: Power BI, dashboard prototyping, data storytelling
  • Research Skills: Experimental design, data collection, exploratory data analysis, statistical reporting

Honors and Awards

  • Poster Presentation Competition Winner — 2025 Mathematical Society of the Philippines Annual Convention, May 2025
    Selected as one of the winners for presenting key results from my MS Statistics thesis: A Bayesian Dynamic Spatiotemporal Model with Advection-Diffusion Motivation for Short-Term Probabilistic Forecasting of Short-wave Radiation Fields.

  • Best Master’s Thesis (Statistics) — Mindanao State University - Iligan Institute of Technology, June 2025
    Awarded Best Master’s Thesis in Statistics for A Bayesian Dynamic Spatiotemporal Model for Short-Term Probabilistic Forecasting of Solar Radiation Fields.

  • Magna Cum Laude — Mindanao State University - Iligan Institute of Technology, July 2023
    Graduated with high academic distinction in BS Statistics.

  • DOST-SEI Scholastic Completion in Science and Technology Award — Department of Science and Technology - Science Education Institute, July 2023
    Recognized for outstanding academic performance and successful completion of the DOST merit scholarship program.

  • Best Thesis Award — Mindanao State University - Iligan Institute of Technology, July 2023
    Awarded for the undergraduate thesis A Predictive Analytics and Segmentation Approach to Student Admission Profiling, which was implemented by the university to improve student admissions.

Volunteer Experience

Volunteer Python and SQL Tutor

Statistics and Mathematics Society, MSU-IIT | April 2022 - June 2022

  • Conducted tutoring sessions for undergraduate students on Python programming and SQL.
  • Designed interactive tutorials and hands-on exercises to support practical learning.
  • Contributed to making technical concepts more accessible through the society’s tutorial program.