Hello, I'm

Data Analyst &
Visual Storyteller

I transform complex datasets into clear, actionable insights. Specializing in Power BI, data modeling, and creating compelling presentations that drive business decisions.

Profile

About Me

Translating Data into Strategy

With a background in [Your Field/Degree], I bridge the gap between raw data and executive decision-making. I believe that a dashboard is only as good as the story it tells.

When I'm not writing SQL queries or tuning DAX formulas in Power BI, I enjoy [Insert a hobby or personal interest to add character]. My goal is to build scalable reporting solutions that empower teams.

Core Competencies

Power BI SQL Server Python Advanced Excel Data Modeling PowerPoint

Featured Projects

A selection of my recent work, showcasing data visualization, reporting, and analysis.

Interactive Dashboard

Global Sales Performance Tracker

Situation: Management lacked real-time visibility into regional sales metrics, relying on static monthly Excel dumps.

Task: Create an automated, interactive dashboard connecting directly to the SQL data warehouse.

Action: Engineered a robust star-schema data model in Power BI, utilizing DAX for complex YTD and YoY calculations. Designed a user-friendly UI for non-technical executives.

Result: Reduced reporting time by 15 hours per month and identified a 12% drop in a key region, allowing for immediate corrective action.

Power BI DAX SQL
Open Dashboard Fullscreen
PPT Preview
Strategy Presentation

Q3 Market Expansion Strategy Pitch

Overview: A highly visual, data-backed pitch deck presented to the board of directors regarding expansion into the APAC region.

Goal: Synthesize 50+ pages of market research into a concise, 12-slide persuasive narrative.

Outcome: Successfully secured $2M in funding for the pilot program. The presentation was praised for its clear data visualization and compelling storytelling arc.

PowerPoint Data Storytelling Market Research
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Open Source / Code

Automated Data Cleaning Pipeline

View on GitHub

A Python-based ETL script using Pandas that automatically ingests messy CSV files from a designated folder, cleans anomalies, standardizes date formats, and pushes the clean data directly into a SQL database.

# Code Snippet Example
def clean_dates(df, column_name):
    df[column_name] = pd.to_datetime(df[column_name], errors='coerce')
    return df.dropna(subset=[column_name])

Ready to see the full picture?

Download my complete resume to view my full work history, educational background, and technical certifications.

Download Resume (PDF)

Let's Connect

I'm currently open to new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!