About Me

Hi, I’m Kevin — a former strategist and startup advisor turned data analyst, passionate about helping teams make smarter, data-driven decisions. Over the past 8+ years, I’ve led strategy and analytics projects across industries, combining technical tools like Python, SQL, Tableau, and Power BI with business expertise to bridge the gap between data teams and decision-makers. My portfolio showcases real-world projects focused on turning data into impact through clear visualizations, streamlined reporting, and actionable insights.

I specialize in:

• Data Analytics & Visualization: Using SQL, Tableau, and Python to extract insights and craft dashboards that inform strategic decisions.
• Project Management & Strategy: Leading cross-functional initiatives to align data science projects with business objectives.
• Business Growth & Innovation: Supporting decision-making through data-driven solutions for scalability, operational efficiency, and financial growth.

Let’s connect on LinkedIn

Certifications

• Microsoft Azure Fundamentals, Datacamp
• Workflow Specialist, Asana
• AI in Healthcare, Stanford
• Github Foundations, Datacamp
• Google Data Analyst, Coursera
• Data Analyst, Datacamp
• SQL Fundamentals, Datacamp
• dbt Labs, dbt Fundamentals
• Data Analyst in Tableau, Datacamp

Recent Data Reads

• “AI Survival Guide” - Sol Rashidi
• “Ace the Data Science Interview” - Kevin Huo & Nick Singh
• “Confident Data Skills” - Kirill Eremenko
• “Numsense! Data Science for the Layman” - Annalyn Ng

Movie Correlation

Pandas, Numpy, MatplotLib, HeatMaps

Utilizing an Alex the Analyst project, utilized the IMDB movie database to understand correlation between features for movie performance.

Sample Customer Analysis

Pandas, MatplotLib, Tableau

Using Pandas in Python, generated a sample customer list and transaction data, exploratory analysis for insights, visualizing in Matplotlib - and created an interactive dashboard in Tableau for stakeholder consumption.