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Mikhail “Kyle” Tabong

Compliance Analyst @ Protiviti
InfoSci Senior @ the University of Maryland, College Park

Insight-Driven. Team-Oriented. Outcome-Focused.

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About Me

Hi, my name is Mikhail Tabong (pronounced /mɪˈkaɪl tæˈbɔŋ/ — “me-KYLE tah-BONG”), but most of my peers call me Kyle for short. I am a rising senior at the University of Maryland, majoring in Information Science with a concentration in Data Science. Alongside my studies, I currently work as a Compliance Analyst through a contract with Protiviti, where I apply analytical skills to support financial crime detection and regulatory compliance for a Fortune 500 bank.

With strong expertise in data analytics, SQL, Python, and statistical modeling, I excel at turning complex datasets into actionable insights. I am known for exceeding expectations and delivering high-quality work in collaborative team settings that value efficiency and clear communication.

I am passionate about leveraging data to drive impactful decision-making and am eager to advance my career as a Data Analyst, particularly within the finance or healthcare sectors. My goal is to contribute to organizations by optimizing operations and improving outcomes through data-driven strategies.

Education

B.Sci in Information Science–University of Maryland, College Park
College Park, MDExpected May 2026
General Education–Anne Arundel Community College
Arnold, MD2022 – 2023

Current Position

Compliance Analyst–Protiviti
Washington, DCJune 2025 – Present

Experience

Data Analyst Intern–Ambulero, Inc.
Miami, FL (Remote)Dec 2024 – Apr 2025
  • Streamlined test-data workflows using Python, improving pipeline efficiency by 30%.
  • Normalized XML test data into SQL schema for time-series analysis on 10K+ records.
  • Built interactive Tableau dashboards for QA KPIs across 5 product lines; reduced error resolution time by 15%.
Data Analyst Intern–Chosan
Los Angeles, CA (Remote)Oct 2024 – Dec 2024
  • Audited and optimized contractor inventory database using SQL (reduced discrepancies by 15%).
  • Developed Python ETL pipelines, automated data quality checks, and stakeholder reporting (saved 10+ hours/month).
Fundraising Chair & Warden–Phi Delta Sigma, Inc.
University of Maryland2023 – Present
  • Led fundraising campaigns, raising over $6,000 for local and national causes.
  • Coordinated service events and managed chapter operations, boosting engagement and retention.

Skills

Programming & Analysis

Python R SQL pandas NumPy scikit-learn

Data Visualization

Tableau Excel Matplotlib Seaborn

Databases & ETL

MySQL PostgreSQL Data Cleaning ETL Pipelines

Machine Learning

Classification Regression Clustering Bias Mitigation

Portfolio / Projects

Diabetes Data Monitoring

Diabetes Data Warehouse Report

Designed and implemented a research-ready SQL data warehouse with over 70K+ patient records and a focus on DEI and privacy.

Illustration of a liver for Hepatitis study

Hepatitis Education: Mortality Prediction Using ML

Built clinical ML models (Decision Tree, SVM, KNN) to predict hepatitis mortality, prioritizing ethical AI and fairness across demographics.

Abstract e-commerce concept graphic

Mapping Product Similarity in E-Commerce

Developed an ML pipeline to visualize product similarities, supporting recommendation, pricing, and bundling strategies using t-SNE and clustering.

Screenshot of a sales dashboard

Superstore Sales Dashboard

Developed an interactive Tableau dashboard to analyze Superstore sales data and visualize key performance metrics, enabling dynamic filtering for decision support.

NBA Logo

Arc Advantage: NBA Three-Point Shot Strategy

Analyzed NBA trends using regression and historical data to uncover the evolution and impact of the three-point shot on offensive strategy.

Spotify Genre Clustering Illustration

Enhancing Spotify Genre Clustering

Built a Spotify genre-clustering system using Flask/PostgreSQL and Python to process real and simulated user data, identify listener groups, and recommend personalized playlists.

What I Offer

I offer analytical solutions for data-driven decision making—data analysis, visualization, dashboard development, and ETL pipelines for organizations in finance, healthcare, and beyond. My focus is always on actionable insight, quality, and collaboration.

  • Data Analysis & Reporting
  • Interactive Dashboard Creation
  • Database Design & Automation
  • Machine Learning Model Evaluation

Contact

Phone: (808) 388-2725
Email: mikhailtabong@gmail.com
LinkedIn: linkedin.com/in/mikhail-tabong
GitHub: github.com/mikhail-tabong